SlideShare a Scribd company logo
1 of 8
Download to read offline
International Journal of Electrical and Computer Engineering (IJECE)
Vol. 9, No. 2, April 2019, pp. 1137~1144
ISSN: 2088-8708, DOI: 10.11591/ijece.v9i2.pp1137-1144  1137
Journal homepage: http://iaescore.com/journals/index.php/IJECE
An intelligent approach to take care of mother and baby health
Mohammad Nasser Uddin, Mohammad Jahangir Alam, Md. Nurul Mustafa
Department of Computer Science and Information Technology, Southern University Bangladesh, Bangladesh
Article Info ABSTRACT
Article history:
Received Nov 1, 2017
Revised Aug 3, 2018
Accepted Aug 30, 2018
This is the era of technology and is widely used in every sector. In
Bangladesh the use of technology is increasing day by day in many sectors.
Health sector is one of them. This research is designed and developed to help
our pregnant mother to get weekly information on development and
conditions of their health and the growing child inside their womb. This
system will notify expectant mothers automatically about their health
checkup date and time. It provides general and special health information to
the expectant mothers. It is designed with user friendly interface so that an
expectant mother can use this system very effectively. This system allows a
unique secure login system and provides a unique suggestion to the expectant
mothers. This system is very user friendly and useful.
Keywords:
Expectant mother
Health sector
Mother and baby care
Smart phone
User interface Copyright © 2019 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Mohammad Nasser Uddin,
Department of Computer Science and Information Technology,
Southern University Bangladesh,
739/A Mehidibag Road, Chittagong, Bangladesh.
Email: nasseruddin83@gmail.com
1. INTRODUCTION
A healthy baby can give immense happiness to a family. So before being a mother, she should plan
many things that will ensure a healthy pregnancy and a healthy baby. This research is made for the
preparation of pregnant women. The goal of the system is to help the expectant mothers for healthy
pregnancy and increase their self-care awareness. Most of the expectant mothers need to visit their doctor
regularly for a check-up and keep track of their health care. However, the doctor might not be able to always
keep track on them and give them immediate feedback. Thus, this application is to encourage the expectant
mothers to keep track on their health anywhere and anytime they wish. In addition, this application will also
provide some guidance to nutrition and some workout for the pregnant women. Hence, this may help them
save their time, improve their healthcare and satisfaction and reduce costs.
NasimKhozouie, FaranakFotouhi-Ghazvini, BehrouzMinaei-Bidgoli published a paper with the title
“Ontological MobiHealth System” in the journal of Indonesian Journal of Electrical Engineering and
Computer Science [1]. In this research, they introduced a context-aware mobile application for patient
monitoring at home. This framework has three steps. First, they collected physiological, activity, and
environmental data using WBAN. In the next step, they extracted context situations from raw data and
created a dynamic ontology with OWL language. In this research, context situations include activity, blood
pressure, body temperature, ratio of oxygen in blood (SpO2) and ECG features, which are extracted from
normal sinus rhythm for a human heart on ECG (e.g., HR, P, Q, R, S, P-R, QRS, S-T, and QT). In the third
step, they programmed rules and alarm management using java code for android operating systems (smart
phones). Finally, this framework was evaluated in three scenarios.
Rohini R. Rao, Krishna moorthiMakkithaya published a paper with the title “Learning from a Class
Imbalanced Public Health Dataset: a Cost-based Comparison of Classifier Performance” on the journal of
International Journal of Electrical and Computer Engineering (IJECE) [2]. In this Paper they described that
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 2, April 2019 : 1137 - 1144
1138
this paper work is relevant to public health policy makers who can use the classifiers to predict the
occurrence of chronic disease in the population and also identify the factors that are correlated with chronic
diseases. The classifiers will help health care providers in improving their prognosis, diagnosis and treatment
plans.
Jong Won Lee, Han Kil Kim, Hoe Kyung Jung published a paper with the title “User Analysis
Mechanisms based Mobile Fitness System” in the journal of International Journal of Electrical and Computer
Engineering (IJECE) [3]. In this paper they showed that the proposed system is available to recommend the
appropriate data to the user by analyzing the information of user body. Analysis of user application
mechanism is based on three recommendation algorithm. The first recommendation algorithm analyzes the
user’s body information, and likes to calculate the exercise BMI index. The second recommendation
algorithm analyzes the BMR value and metabolic activity of the user like metabolic rate and tells quantity of
exercise. The third recommendation algorithm that tells the trainers belonging to the same BMI group, such
as the user, and makes recommendations to other users using exercise equipment that fits their BMI index.
This user may be provided with the data for strength training. Then the data makes it possible to perform the
efficient exercise for the user.
Sherin Sebastian, Neethu Rachel Jacob, YeduManmadhan, Anand V. R., M. J. Jayashree, published
a paper with the title “Remote Patient Monitoring System” in the journal of International Journal of
Distributed and Parallel Systems (IJDPS) [4]. In this research they described the android application which
is developed using UI easy to understand and check the health status of the patient. Emergency alarm, Alerts,
Remainders, Notification alarms help the doctor to take timely decision at emergency situation.
Mackillop, Loerup, Bartlett, Gibson, Kenworthy, published a paper with the title “Development of a
real-time smartphone solution for the management of women with or at high risk of gestational diabetes”
in the journal of Journal of Diabetes Science and Technology [5]. In this paper they developed an intuitive,
interactive, reliable, and accurate management system to record BG measurements and deliver management
of GDM remotely.
2. OBJECTIVES OF THE PROPOSED SYSTEM
The paper describes an intelligent approach to take care of mother and baby health which has the
following objectives:
a. To calculate current week of pregnancy.
b. To get information about baby.
c. To track pregnancy week by week.
d. To track weight and baby kicks.
e. To calculate baby born due date.
f. To make notes with pregnancy symptoms
g. To track instant health condition.
h. To take doctor’s appointment.
i. To get emergency service i.e. ambulance call, telemedicine.
3. TECHNOLOGY AND TOOLS ARE USED IN THIS RESEARCH
3.1. Tools and techniques
Smart phone: A smartphone is a mobile phone that includes advanced functionality beyond making
phone calls and sending text messages. Most smartphones have the capability of displaying photos, playing
videos, check and sending e-mail, and surf the Web. Modern smartphones, such as the iPhone and Android
based phones can run third-party applications, which provide limitless functionality [6].
Android: Android app is a software application running on the Android platform. As the Android
platform is built for mobile devices, a typical Android app is designed for a smartphone or a tablet PC
running on the Android OS [7].
Web server: A Web server is a system that delivers content or services to the end users over the
Internet. A Web server consists of a physical server, server operating system (OS) and software used to
facilitate HTTP communication. A Web server is also known as an Internet server [8].
Database: A database is a structured collection of data. It may be anything from a simple shopping
list to a picture gallery or the vast amounts of information in a corporate network. To add, access, and process
data stored in a computer database, we need a database management system such as MySQL Server. Since
computers are very good at handling large amounts of data, database management systems play a central role
in computing, as standalone utilities, or as parts of other applications [9].
Int J Elec & Comp Eng ISSN: 2088-8708 
An intelligent approach to take care of mother and baby health (Mohammad Nasser Uddin)
1139
3.2. Algorithm
Quick sort: Quicksort is a fast sorting algorithm, which is used not only for educational purposes,
but widely applied in practice. On the average, it has no complexity making quicksort suitable for sorting big
data volumes. The idea of the algorithm is quite simple and once we realize it, we can write quicksort as fast
as bubble sort [10]. In this project Quick sort algorithm has been used to find doctor’s suggestion using user’s
symptoms from the symptoms database.
The divide-and-conquer strategy is used in quicksort. Below the recursion step is described:
1. Choose a pivot value. We take the value of the middle element as pivot value, but it can be any value,
which is in range of sorted values, even if it doesn't present in the array.
2. Partition. Rearrange elements in such a way that all elements which are lesser than the pivot go to the left
part of the array and all elements greater than the pivot, go to the right part of the array. Values equal to
the pivot can stay in any part of the array. Notice that array may be divided in non-equal parts.
3. Sort both parts. Apply quicksort algorithm recursively to the left and the right parts.
Example: Sort {1, 12, 5, 26, 7, 14, 3, 7, 2} using quicksort.
4. SYSTEM ARCHITECTURE
In the following proposed system architecture there are two diagrams, one is concept diagram and
the other one is block diagram. The conceptual diagram shown in Figure 1.
Figure 1. Conceptual diagram of an intelligent approach to take care of mother and baby health
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 2, April 2019 : 1137 - 1144
1140
5. IMPLEMENTATION
This project has two applications, one application is for Android phone and the other application is
web application API for http connection with database. If someone wants to get supportive information and
services, he or she should download the apps and install into their mobile phones. After completing the
installation, the user should create an account by registration and then login to the system.
5.1. Flowchart
Flowchart for an intelligent approach to take care of mother and baby health shown in Figure 2.
Figure 2. Flowchart for an intelligent approach to take care of mother and baby health
The flow chart shows the total procedure of an intelligent approach to take care of mother and baby
health system. A user should follow some steps to get support and make decision:
a. Start
b. If new user then
1. Registration
c. User login
d. Check match found
e. If match found then
1. Show my self condition
2. Show my baby condition
3. Show symptoms and suggestion
4. Show other information
f. If match not found then
1. Show error message
g. Stop
5.2. Interface of the system
User interface is the front-end application view to which user interacts in order to use the software.
User can manipulate and control the software as well as hardware. This is the front page of mobile
application before registration as Figure 3. The user should register this application by clicking the
Registration button. After clicking the registration page of the mobile application, the user has to type full
name, e-mail address, phone number, and last menstruation date into the text box and type password into the
Int J Elec & Comp Eng ISSN: 2088-8708 
An intelligent approach to take care of mother and baby health (Mohammad Nasser Uddin)
1141
password text box as like as Figure 4. After entering information and password, click register button, then
this application will be registered.
igure 3. User interface for an intelligent approach to
take care of mother and baby health
Figure 4. Registration form
6. RESULT AND ANALYSIS
To access to the application, the user has to login into the system by entering e-mail address, phone
number and password as Figure 5. After successful login a user will get relevant information and be able to
access to services and tools as Figure 6. Among the menus when a user clicks on myself button it will show
the pregnant mother’s current week health condition as liks as Figure 7. If the mother wants to know about
her baby, she has to tap on mybaby menu and then she will get her baby’s current week health conditions
inside the mother’s womb as on Figure 8. A mother can also calculate the probable baby born due date using
the baby born date calculator by giving mother’s last menstruation date as Figure 9.
A mother can track what to do in the current month such as when to go health checkup, when to take
vaccine and dosages, other important activities by the calendar tools. The selected dates indicate what to do
in the particular day as Figure 10. The Figure 11 shows all probable symptoms list during her pregnancy
period. The intelligences are included in this section. It is more interactive and dynamic. A mother may get
suggestion by selecting symptom of own feelings and physical condition automatically.After selecting
symptoms click on “click for doctor tips” for getting suggestions as Figure 12. These suggestions are
prepared by sorting (Quick sort algorithms) symptoms according to diseases from the database. By selecting
the symptoms, they can seek out the percentage according to selection of the highest number of symptoms
under a disease. Then a quick sort is performed among the percentage and found the largest percentage of the
symptoms selection of a diseases. Then the system shows the possible diseases list according to percentage of
symptoms selection and display the related suggestion from the related database.
The user or mother can appoint a doctor or call ambulances in critical situation using this app just
tapping on call or message button easily. Figure 13 shows how to appoint the doctor and display text message
after successful sending request.
Figure 5. Login page with user Id and password Figure 6. Menu
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 2, April 2019 : 1137 - 1144
1142
Figure 7. My self information page Figure 8. My baby information page
Figure 9. Baby born due date calculator Figure 10. To do page
Figure 11. Symptoms selection Figure 12. Doctor suggestions page
Figure 13. Doctor appointment by sending message
Int J Elec & Comp Eng ISSN: 2088-8708 
An intelligent approach to take care of mother and baby health (Mohammad Nasser Uddin)
1143
7. COMPARISON
The comparisons with other systems shown in Table 1.
Table 1. The Comparisons with Other Systems
System name Security Interactive Notification Instant Service
Pregnancy Tracker Medium Yes No No
Pregnancy Guide Low No No No
An intelligent approach to take care of mother and baby health High Yes Yes Yes
8. CONCLUSION
In this research, we have developed an intelligent approach to take care of mother and baby health.
We have conducted this research to help our pregnant mother raise their self-care awareness. Using this
application, an expectant mother can be worried free due to its many useful features. This system will work
as an assistant as well as a guide to make tension free of the expectant mother. It is very nice and the user can
easily use this application. Any people can track expectant mother health condition and get solution any time
using this application. We have experimented in different Android phones and it has proved perfect. We
think users will be benefited by using this application.
REFERENCES
[1] NasimKhozouie, FaranakFotouhi-Ghazvini, BehrouzMinaei-Bidgoli, “Ontological MobiHealth System,” Indonesian
Journal of Electrical Engineering and Computer Science(IJEECS) Vol. 10, No. 1, pp. 309~319, April 2018.
[2] Rohini R. Rao, KrishnamoorthiMakkithaya, “Learning from a Class Imbalanced Public Health Dataset: a Cost-based
Comparison of Classifier Performance,” International Journal of Electrical and Computer Engineering (IJECE)
Vol. 7, No. 4, pp. 2215~2222, August 2017.
[3] Jong Won Lee, Han Kil Kim, Hoe Kyung Jung, “User Analysis Mechanisms based Mobile Fitness System,”
International Journal of Electrical and Computer Engineering (IJECE) Vol. 6, No. 6, pp. 3154~3160, December
2016.
[4] Sherin Sebastian, Neethu Rachel Jacob, YeduManmadhan, Anand V. R., M. J. Jayashree, “Remote Patient
Monitoring System,” International Journal of Distributed and Parallel Systems (IJDPS),Vol.3, No.5, pp.99-110,
September 2012.
[5] Mackillop, Loerup, Bartlett, Gibson, Kenworthy, “Development of a real-time smartphone solution for the
management of women with or at high risk of gestational diabetes,” Journal of Diabetes Science and Technology,
Vol. 8(6), pp. 1105–1114, July 2014.
[6] Internet:https://techterms.com/definition/smartphone,July 30, 2010 [July 05, 2017].
[7] Internet: https://www.techopedia.com/definition/25099/android-app [July 07, 2017].
[8] Internet: https://www.techopedia.com/definition/4928/web-server [July 07, 2017].
[9] Internet:https://dev.mysql.com/doc/refman/5.7/en/what-is-mysql.html, August 15, 2016 [June 21, 2017].
[10] Internet:http://www.geeksforgeeks.org/quick-sort, January 07, 2014 [June 25, 2017].
BIOGRAPHIES OF AUTHORS
Mohammad Nasser Uddin was born on 02 February1983 at Chittagong, Bangladesh. He has
completed his M.Sc.( Physics) in 2004 under the National University of Gazipur, Dhaka,
Bangladesh and post-graduation (MSc in CSIT) in 2017 from Southern University Bangladesh,
Chittagong. He is a Lecturer of Computer Science at Chittagong Port Women College,
Chittagong under Chittagong Port Authority. He is also an MCSA certified.
Mohammad Jahangir Alam was born in 1978 in Chittagong. He has completed post graduation
(MSc in CSIT) in 2008 from Southern University Bangladesh, Chittagong. He is an Assistant
Professor at the department of Computer Science and Information Technology in Southern
University Bangladesh, Chittagong. He has published more than 10 technical papers in reputed
national, International Journals and Conferences.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 2, April 2019 : 1137 - 1144
1144
Dr. Md.Nurul Mustafa was born on 6th June 1948 at Cox’s Bazar, Bangladesh. He has
completed his M.Sc.( Physics) in 1970 from the University of Chittagong, Bangladesh. He joined
as a Faculty Member at the same Department in 1973. He obtained his higher degree from
Concordia University, Montreal, Canada in 1986 and came back and became Professor in 1992.
He shifted to Computer Science and Engineering Department as Professor and founder Chairman
in 2001 at the same University. After retirement from the University of Chittagong in 2014, Dr.
Mustafa has been serving as a Professor of Computer Science at Southern University
Bangladesh. He published more than forty-five research articles in the field of Radiation Physics
and Computer Science in National and International Journals.

More Related Content

What's hot

Nursing informatics
Nursing informaticsNursing informatics
Nursing informatics
pasok02
 

What's hot (18)

Framework for propagating stress control message using heartbeat based iot re...
Framework for propagating stress control message using heartbeat based iot re...Framework for propagating stress control message using heartbeat based iot re...
Framework for propagating stress control message using heartbeat based iot re...
 
422 3 smart_e-health_care_using_iot_and_machine_learning
422 3 smart_e-health_care_using_iot_and_machine_learning422 3 smart_e-health_care_using_iot_and_machine_learning
422 3 smart_e-health_care_using_iot_and_machine_learning
 
IRJET - Machine Learning for Diagnosis of Diabetes
IRJET - Machine Learning for Diagnosis of DiabetesIRJET - Machine Learning for Diagnosis of Diabetes
IRJET - Machine Learning for Diagnosis of Diabetes
 
Ecis final paper-june2017_two way architecture between iot sensors and cloud ...
Ecis final paper-june2017_two way architecture between iot sensors and cloud ...Ecis final paper-june2017_two way architecture between iot sensors and cloud ...
Ecis final paper-june2017_two way architecture between iot sensors and cloud ...
 
ICT in Healthcare
ICT in HealthcareICT in Healthcare
ICT in Healthcare
 
IRJET- Diabetes Diagnosis using Machine Learning Algorithms
IRJET- Diabetes Diagnosis using Machine Learning AlgorithmsIRJET- Diabetes Diagnosis using Machine Learning Algorithms
IRJET- Diabetes Diagnosis using Machine Learning Algorithms
 
Disease prediction in big data healthcare using extended convolutional neural...
Disease prediction in big data healthcare using extended convolutional neural...Disease prediction in big data healthcare using extended convolutional neural...
Disease prediction in big data healthcare using extended convolutional neural...
 
Uses of computer ln
Uses of computer lnUses of computer ln
Uses of computer ln
 
Artificial intelligence in nursing
Artificial intelligence in nursingArtificial intelligence in nursing
Artificial intelligence in nursing
 
m-Health
m-Healthm-Health
m-Health
 
Nursing informatics
Nursing informaticsNursing informatics
Nursing informatics
 
M-Health
M-HealthM-Health
M-Health
 
Artificial intelligence in Healthcare by Dr. Laila Azmi
Artificial intelligence in Healthcare by Dr. Laila AzmiArtificial intelligence in Healthcare by Dr. Laila Azmi
Artificial intelligence in Healthcare by Dr. Laila Azmi
 
Artificial Intelligence in Healthcare Report
Artificial Intelligence in Healthcare Report Artificial Intelligence in Healthcare Report
Artificial Intelligence in Healthcare Report
 
Artificial Intelligence Service in Healthcare
Artificial Intelligence Service in HealthcareArtificial Intelligence Service in Healthcare
Artificial Intelligence Service in Healthcare
 
Al in healthcare
Al in healthcareAl in healthcare
Al in healthcare
 
What is mHealth?
What is mHealth?What is mHealth?
What is mHealth?
 
Performance evaluation of random forest with feature selection methods in pre...
Performance evaluation of random forest with feature selection methods in pre...Performance evaluation of random forest with feature selection methods in pre...
Performance evaluation of random forest with feature selection methods in pre...
 

Similar to An intelligent approach to take care of mother and baby health

An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
IJERA Editor
 
SURVEY ON A MODERN MEDICARE SYSTEM USING INTERNET OF THINGS | J4RV3I12024
SURVEY ON A MODERN MEDICARE SYSTEM USING INTERNET OF THINGS | J4RV3I12024SURVEY ON A MODERN MEDICARE SYSTEM USING INTERNET OF THINGS | J4RV3I12024
SURVEY ON A MODERN MEDICARE SYSTEM USING INTERNET OF THINGS | J4RV3I12024
Journal For Research
 

Similar to An intelligent approach to take care of mother and baby health (20)

2
22
2
 
IRJET- A System for Complete Healthcare Management: Ask-Us-Health A Secon...
IRJET-  	  A System for Complete Healthcare Management: Ask-Us-Health A Secon...IRJET-  	  A System for Complete Healthcare Management: Ask-Us-Health A Secon...
IRJET- A System for Complete Healthcare Management: Ask-Us-Health A Secon...
 
IRJET- Mobile Assisted Remote Healthcare Service
IRJET- Mobile Assisted Remote Healthcare ServiceIRJET- Mobile Assisted Remote Healthcare Service
IRJET- Mobile Assisted Remote Healthcare Service
 
Medic - Artificially Intelligent System for Healthcare Services ...
Medic - Artificially Intelligent System for Healthcare Services              ...Medic - Artificially Intelligent System for Healthcare Services              ...
Medic - Artificially Intelligent System for Healthcare Services ...
 
Advanced Patient Monitoring System with Diseases Prediction System using Mach...
Advanced Patient Monitoring System with Diseases Prediction System using Mach...Advanced Patient Monitoring System with Diseases Prediction System using Mach...
Advanced Patient Monitoring System with Diseases Prediction System using Mach...
 
IRJET- An Android Application for Electronic Health Record System
IRJET- An Android Application for Electronic Health Record SystemIRJET- An Android Application for Electronic Health Record System
IRJET- An Android Application for Electronic Health Record System
 
IRJET- An Android Application for Electronic Health Record System
IRJET- An Android Application for Electronic Health Record SystemIRJET- An Android Application for Electronic Health Record System
IRJET- An Android Application for Electronic Health Record System
 
Smart Pill Reminder and Monitoring System
Smart Pill Reminder and Monitoring SystemSmart Pill Reminder and Monitoring System
Smart Pill Reminder and Monitoring System
 
IRJET- Review on: Virtual Assistant and Patient Monitoring System by usin...
IRJET-  	  Review on: Virtual Assistant and Patient Monitoring System by usin...IRJET-  	  Review on: Virtual Assistant and Patient Monitoring System by usin...
IRJET- Review on: Virtual Assistant and Patient Monitoring System by usin...
 
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
 
Health Care Application using Machine Learning and Deep Learning
Health Care Application using Machine Learning and Deep LearningHealth Care Application using Machine Learning and Deep Learning
Health Care Application using Machine Learning and Deep Learning
 
Multiple disease prediction using Machine Learning Algorithms
Multiple disease prediction using Machine Learning AlgorithmsMultiple disease prediction using Machine Learning Algorithms
Multiple disease prediction using Machine Learning Algorithms
 
Cloud based Health Prediction System
Cloud based Health Prediction SystemCloud based Health Prediction System
Cloud based Health Prediction System
 
SMART HEALTHCARE PREDICTION
SMART HEALTHCARE PREDICTIONSMART HEALTHCARE PREDICTION
SMART HEALTHCARE PREDICTION
 
Android Based Application to Ensure Medical Adherence: CareWise
Android Based Application to Ensure Medical Adherence: CareWiseAndroid Based Application to Ensure Medical Adherence: CareWise
Android Based Application to Ensure Medical Adherence: CareWise
 
CHOOSELYF
CHOOSELYFCHOOSELYF
CHOOSELYF
 
AI-Chronic Disease Suggestion System
AI-Chronic Disease Suggestion SystemAI-Chronic Disease Suggestion System
AI-Chronic Disease Suggestion System
 
SURVEY ON A MODERN MEDICARE SYSTEM USING INTERNET OF THINGS | J4RV3I12024
SURVEY ON A MODERN MEDICARE SYSTEM USING INTERNET OF THINGS | J4RV3I12024SURVEY ON A MODERN MEDICARE SYSTEM USING INTERNET OF THINGS | J4RV3I12024
SURVEY ON A MODERN MEDICARE SYSTEM USING INTERNET OF THINGS | J4RV3I12024
 
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
 
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASESINTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
 

More from IJECEIAES

Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...
IJECEIAES
 
An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...
IJECEIAES
 
A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...
IJECEIAES
 
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networksSeizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networks
IJECEIAES
 
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
IJECEIAES
 
SADCNN-ORBM: a hybrid deep learning model based citrus disease detection and ...
SADCNN-ORBM: a hybrid deep learning model based citrus disease detection and ...SADCNN-ORBM: a hybrid deep learning model based citrus disease detection and ...
SADCNN-ORBM: a hybrid deep learning model based citrus disease detection and ...
IJECEIAES
 
Performance enhancement of machine learning algorithm for breast cancer diagn...
Performance enhancement of machine learning algorithm for breast cancer diagn...Performance enhancement of machine learning algorithm for breast cancer diagn...
Performance enhancement of machine learning algorithm for breast cancer diagn...
IJECEIAES
 
A deep learning framework for accurate diagnosis of colorectal cancer using h...
A deep learning framework for accurate diagnosis of colorectal cancer using h...A deep learning framework for accurate diagnosis of colorectal cancer using h...
A deep learning framework for accurate diagnosis of colorectal cancer using h...
IJECEIAES
 
Predicting churn with filter-based techniques and deep learning
Predicting churn with filter-based techniques and deep learningPredicting churn with filter-based techniques and deep learning
Predicting churn with filter-based techniques and deep learning
IJECEIAES
 
Automatic customer review summarization using deep learningbased hybrid senti...
Automatic customer review summarization using deep learningbased hybrid senti...Automatic customer review summarization using deep learningbased hybrid senti...
Automatic customer review summarization using deep learningbased hybrid senti...
IJECEIAES
 

More from IJECEIAES (20)

Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...
 
Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...
 
Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...
 
An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...
 
Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...
 
A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...
 
A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...
 
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersFuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbers
 
The performance of artificial intelligence in prostate magnetic resonance im...
The performance of artificial intelligence in prostate  magnetic resonance im...The performance of artificial intelligence in prostate  magnetic resonance im...
The performance of artificial intelligence in prostate magnetic resonance im...
 
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networksSeizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networks
 
Analysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behaviorAnalysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behavior
 
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
 
Fuzzy logic method-based stress detector with blood pressure and body tempera...
Fuzzy logic method-based stress detector with blood pressure and body tempera...Fuzzy logic method-based stress detector with blood pressure and body tempera...
Fuzzy logic method-based stress detector with blood pressure and body tempera...
 
SADCNN-ORBM: a hybrid deep learning model based citrus disease detection and ...
SADCNN-ORBM: a hybrid deep learning model based citrus disease detection and ...SADCNN-ORBM: a hybrid deep learning model based citrus disease detection and ...
SADCNN-ORBM: a hybrid deep learning model based citrus disease detection and ...
 
Performance enhancement of machine learning algorithm for breast cancer diagn...
Performance enhancement of machine learning algorithm for breast cancer diagn...Performance enhancement of machine learning algorithm for breast cancer diagn...
Performance enhancement of machine learning algorithm for breast cancer diagn...
 
A deep learning framework for accurate diagnosis of colorectal cancer using h...
A deep learning framework for accurate diagnosis of colorectal cancer using h...A deep learning framework for accurate diagnosis of colorectal cancer using h...
A deep learning framework for accurate diagnosis of colorectal cancer using h...
 
Swarm flip-crossover algorithm: a new swarm-based metaheuristic enriched with...
Swarm flip-crossover algorithm: a new swarm-based metaheuristic enriched with...Swarm flip-crossover algorithm: a new swarm-based metaheuristic enriched with...
Swarm flip-crossover algorithm: a new swarm-based metaheuristic enriched with...
 
Predicting churn with filter-based techniques and deep learning
Predicting churn with filter-based techniques and deep learningPredicting churn with filter-based techniques and deep learning
Predicting churn with filter-based techniques and deep learning
 
Taxi-out time prediction at Mohammed V Casablanca Airport
Taxi-out time prediction at Mohammed V Casablanca AirportTaxi-out time prediction at Mohammed V Casablanca Airport
Taxi-out time prediction at Mohammed V Casablanca Airport
 
Automatic customer review summarization using deep learningbased hybrid senti...
Automatic customer review summarization using deep learningbased hybrid senti...Automatic customer review summarization using deep learningbased hybrid senti...
Automatic customer review summarization using deep learningbased hybrid senti...
 

Recently uploaded

Introduction to Robotics in Mechanical Engineering.pptx
Introduction to Robotics in Mechanical Engineering.pptxIntroduction to Robotics in Mechanical Engineering.pptx
Introduction to Robotics in Mechanical Engineering.pptx
hublikarsn
 
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments""Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
mphochane1998
 
Hospital management system project report.pdf
Hospital management system project report.pdfHospital management system project report.pdf
Hospital management system project report.pdf
Kamal Acharya
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
AldoGarca30
 
Query optimization and processing for advanced database systems
Query optimization and processing for advanced database systemsQuery optimization and processing for advanced database systems
Query optimization and processing for advanced database systems
meharikiros2
 

Recently uploaded (20)

Introduction to Robotics in Mechanical Engineering.pptx
Introduction to Robotics in Mechanical Engineering.pptxIntroduction to Robotics in Mechanical Engineering.pptx
Introduction to Robotics in Mechanical Engineering.pptx
 
Post office management system project ..pdf
Post office management system project ..pdfPost office management system project ..pdf
Post office management system project ..pdf
 
Electromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptxElectromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptx
 
8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor
 
UNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptxUNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptx
 
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxS1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
 
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments""Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
 
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
 
Signal Processing and Linear System Analysis
Signal Processing and Linear System AnalysisSignal Processing and Linear System Analysis
Signal Processing and Linear System Analysis
 
Hospital management system project report.pdf
Hospital management system project report.pdfHospital management system project report.pdf
Hospital management system project report.pdf
 
Introduction to Data Visualization,Matplotlib.pdf
Introduction to Data Visualization,Matplotlib.pdfIntroduction to Data Visualization,Matplotlib.pdf
Introduction to Data Visualization,Matplotlib.pdf
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
 
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
 
Design For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the startDesign For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the start
 
Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata Model
 
fitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .pptfitting shop and tools used in fitting shop .ppt
fitting shop and tools used in fitting shop .ppt
 
Online food ordering system project report.pdf
Online food ordering system project report.pdfOnline food ordering system project report.pdf
Online food ordering system project report.pdf
 
Query optimization and processing for advanced database systems
Query optimization and processing for advanced database systemsQuery optimization and processing for advanced database systems
Query optimization and processing for advanced database systems
 
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKARHAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptx
 

An intelligent approach to take care of mother and baby health

  • 1. International Journal of Electrical and Computer Engineering (IJECE) Vol. 9, No. 2, April 2019, pp. 1137~1144 ISSN: 2088-8708, DOI: 10.11591/ijece.v9i2.pp1137-1144  1137 Journal homepage: http://iaescore.com/journals/index.php/IJECE An intelligent approach to take care of mother and baby health Mohammad Nasser Uddin, Mohammad Jahangir Alam, Md. Nurul Mustafa Department of Computer Science and Information Technology, Southern University Bangladesh, Bangladesh Article Info ABSTRACT Article history: Received Nov 1, 2017 Revised Aug 3, 2018 Accepted Aug 30, 2018 This is the era of technology and is widely used in every sector. In Bangladesh the use of technology is increasing day by day in many sectors. Health sector is one of them. This research is designed and developed to help our pregnant mother to get weekly information on development and conditions of their health and the growing child inside their womb. This system will notify expectant mothers automatically about their health checkup date and time. It provides general and special health information to the expectant mothers. It is designed with user friendly interface so that an expectant mother can use this system very effectively. This system allows a unique secure login system and provides a unique suggestion to the expectant mothers. This system is very user friendly and useful. Keywords: Expectant mother Health sector Mother and baby care Smart phone User interface Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Mohammad Nasser Uddin, Department of Computer Science and Information Technology, Southern University Bangladesh, 739/A Mehidibag Road, Chittagong, Bangladesh. Email: nasseruddin83@gmail.com 1. INTRODUCTION A healthy baby can give immense happiness to a family. So before being a mother, she should plan many things that will ensure a healthy pregnancy and a healthy baby. This research is made for the preparation of pregnant women. The goal of the system is to help the expectant mothers for healthy pregnancy and increase their self-care awareness. Most of the expectant mothers need to visit their doctor regularly for a check-up and keep track of their health care. However, the doctor might not be able to always keep track on them and give them immediate feedback. Thus, this application is to encourage the expectant mothers to keep track on their health anywhere and anytime they wish. In addition, this application will also provide some guidance to nutrition and some workout for the pregnant women. Hence, this may help them save their time, improve their healthcare and satisfaction and reduce costs. NasimKhozouie, FaranakFotouhi-Ghazvini, BehrouzMinaei-Bidgoli published a paper with the title “Ontological MobiHealth System” in the journal of Indonesian Journal of Electrical Engineering and Computer Science [1]. In this research, they introduced a context-aware mobile application for patient monitoring at home. This framework has three steps. First, they collected physiological, activity, and environmental data using WBAN. In the next step, they extracted context situations from raw data and created a dynamic ontology with OWL language. In this research, context situations include activity, blood pressure, body temperature, ratio of oxygen in blood (SpO2) and ECG features, which are extracted from normal sinus rhythm for a human heart on ECG (e.g., HR, P, Q, R, S, P-R, QRS, S-T, and QT). In the third step, they programmed rules and alarm management using java code for android operating systems (smart phones). Finally, this framework was evaluated in three scenarios. Rohini R. Rao, Krishna moorthiMakkithaya published a paper with the title “Learning from a Class Imbalanced Public Health Dataset: a Cost-based Comparison of Classifier Performance” on the journal of International Journal of Electrical and Computer Engineering (IJECE) [2]. In this Paper they described that
  • 2.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 2, April 2019 : 1137 - 1144 1138 this paper work is relevant to public health policy makers who can use the classifiers to predict the occurrence of chronic disease in the population and also identify the factors that are correlated with chronic diseases. The classifiers will help health care providers in improving their prognosis, diagnosis and treatment plans. Jong Won Lee, Han Kil Kim, Hoe Kyung Jung published a paper with the title “User Analysis Mechanisms based Mobile Fitness System” in the journal of International Journal of Electrical and Computer Engineering (IJECE) [3]. In this paper they showed that the proposed system is available to recommend the appropriate data to the user by analyzing the information of user body. Analysis of user application mechanism is based on three recommendation algorithm. The first recommendation algorithm analyzes the user’s body information, and likes to calculate the exercise BMI index. The second recommendation algorithm analyzes the BMR value and metabolic activity of the user like metabolic rate and tells quantity of exercise. The third recommendation algorithm that tells the trainers belonging to the same BMI group, such as the user, and makes recommendations to other users using exercise equipment that fits their BMI index. This user may be provided with the data for strength training. Then the data makes it possible to perform the efficient exercise for the user. Sherin Sebastian, Neethu Rachel Jacob, YeduManmadhan, Anand V. R., M. J. Jayashree, published a paper with the title “Remote Patient Monitoring System” in the journal of International Journal of Distributed and Parallel Systems (IJDPS) [4]. In this research they described the android application which is developed using UI easy to understand and check the health status of the patient. Emergency alarm, Alerts, Remainders, Notification alarms help the doctor to take timely decision at emergency situation. Mackillop, Loerup, Bartlett, Gibson, Kenworthy, published a paper with the title “Development of a real-time smartphone solution for the management of women with or at high risk of gestational diabetes” in the journal of Journal of Diabetes Science and Technology [5]. In this paper they developed an intuitive, interactive, reliable, and accurate management system to record BG measurements and deliver management of GDM remotely. 2. OBJECTIVES OF THE PROPOSED SYSTEM The paper describes an intelligent approach to take care of mother and baby health which has the following objectives: a. To calculate current week of pregnancy. b. To get information about baby. c. To track pregnancy week by week. d. To track weight and baby kicks. e. To calculate baby born due date. f. To make notes with pregnancy symptoms g. To track instant health condition. h. To take doctor’s appointment. i. To get emergency service i.e. ambulance call, telemedicine. 3. TECHNOLOGY AND TOOLS ARE USED IN THIS RESEARCH 3.1. Tools and techniques Smart phone: A smartphone is a mobile phone that includes advanced functionality beyond making phone calls and sending text messages. Most smartphones have the capability of displaying photos, playing videos, check and sending e-mail, and surf the Web. Modern smartphones, such as the iPhone and Android based phones can run third-party applications, which provide limitless functionality [6]. Android: Android app is a software application running on the Android platform. As the Android platform is built for mobile devices, a typical Android app is designed for a smartphone or a tablet PC running on the Android OS [7]. Web server: A Web server is a system that delivers content or services to the end users over the Internet. A Web server consists of a physical server, server operating system (OS) and software used to facilitate HTTP communication. A Web server is also known as an Internet server [8]. Database: A database is a structured collection of data. It may be anything from a simple shopping list to a picture gallery or the vast amounts of information in a corporate network. To add, access, and process data stored in a computer database, we need a database management system such as MySQL Server. Since computers are very good at handling large amounts of data, database management systems play a central role in computing, as standalone utilities, or as parts of other applications [9].
  • 3. Int J Elec & Comp Eng ISSN: 2088-8708  An intelligent approach to take care of mother and baby health (Mohammad Nasser Uddin) 1139 3.2. Algorithm Quick sort: Quicksort is a fast sorting algorithm, which is used not only for educational purposes, but widely applied in practice. On the average, it has no complexity making quicksort suitable for sorting big data volumes. The idea of the algorithm is quite simple and once we realize it, we can write quicksort as fast as bubble sort [10]. In this project Quick sort algorithm has been used to find doctor’s suggestion using user’s symptoms from the symptoms database. The divide-and-conquer strategy is used in quicksort. Below the recursion step is described: 1. Choose a pivot value. We take the value of the middle element as pivot value, but it can be any value, which is in range of sorted values, even if it doesn't present in the array. 2. Partition. Rearrange elements in such a way that all elements which are lesser than the pivot go to the left part of the array and all elements greater than the pivot, go to the right part of the array. Values equal to the pivot can stay in any part of the array. Notice that array may be divided in non-equal parts. 3. Sort both parts. Apply quicksort algorithm recursively to the left and the right parts. Example: Sort {1, 12, 5, 26, 7, 14, 3, 7, 2} using quicksort. 4. SYSTEM ARCHITECTURE In the following proposed system architecture there are two diagrams, one is concept diagram and the other one is block diagram. The conceptual diagram shown in Figure 1. Figure 1. Conceptual diagram of an intelligent approach to take care of mother and baby health
  • 4.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 2, April 2019 : 1137 - 1144 1140 5. IMPLEMENTATION This project has two applications, one application is for Android phone and the other application is web application API for http connection with database. If someone wants to get supportive information and services, he or she should download the apps and install into their mobile phones. After completing the installation, the user should create an account by registration and then login to the system. 5.1. Flowchart Flowchart for an intelligent approach to take care of mother and baby health shown in Figure 2. Figure 2. Flowchart for an intelligent approach to take care of mother and baby health The flow chart shows the total procedure of an intelligent approach to take care of mother and baby health system. A user should follow some steps to get support and make decision: a. Start b. If new user then 1. Registration c. User login d. Check match found e. If match found then 1. Show my self condition 2. Show my baby condition 3. Show symptoms and suggestion 4. Show other information f. If match not found then 1. Show error message g. Stop 5.2. Interface of the system User interface is the front-end application view to which user interacts in order to use the software. User can manipulate and control the software as well as hardware. This is the front page of mobile application before registration as Figure 3. The user should register this application by clicking the Registration button. After clicking the registration page of the mobile application, the user has to type full name, e-mail address, phone number, and last menstruation date into the text box and type password into the
  • 5. Int J Elec & Comp Eng ISSN: 2088-8708  An intelligent approach to take care of mother and baby health (Mohammad Nasser Uddin) 1141 password text box as like as Figure 4. After entering information and password, click register button, then this application will be registered. igure 3. User interface for an intelligent approach to take care of mother and baby health Figure 4. Registration form 6. RESULT AND ANALYSIS To access to the application, the user has to login into the system by entering e-mail address, phone number and password as Figure 5. After successful login a user will get relevant information and be able to access to services and tools as Figure 6. Among the menus when a user clicks on myself button it will show the pregnant mother’s current week health condition as liks as Figure 7. If the mother wants to know about her baby, she has to tap on mybaby menu and then she will get her baby’s current week health conditions inside the mother’s womb as on Figure 8. A mother can also calculate the probable baby born due date using the baby born date calculator by giving mother’s last menstruation date as Figure 9. A mother can track what to do in the current month such as when to go health checkup, when to take vaccine and dosages, other important activities by the calendar tools. The selected dates indicate what to do in the particular day as Figure 10. The Figure 11 shows all probable symptoms list during her pregnancy period. The intelligences are included in this section. It is more interactive and dynamic. A mother may get suggestion by selecting symptom of own feelings and physical condition automatically.After selecting symptoms click on “click for doctor tips” for getting suggestions as Figure 12. These suggestions are prepared by sorting (Quick sort algorithms) symptoms according to diseases from the database. By selecting the symptoms, they can seek out the percentage according to selection of the highest number of symptoms under a disease. Then a quick sort is performed among the percentage and found the largest percentage of the symptoms selection of a diseases. Then the system shows the possible diseases list according to percentage of symptoms selection and display the related suggestion from the related database. The user or mother can appoint a doctor or call ambulances in critical situation using this app just tapping on call or message button easily. Figure 13 shows how to appoint the doctor and display text message after successful sending request. Figure 5. Login page with user Id and password Figure 6. Menu
  • 6.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 2, April 2019 : 1137 - 1144 1142 Figure 7. My self information page Figure 8. My baby information page Figure 9. Baby born due date calculator Figure 10. To do page Figure 11. Symptoms selection Figure 12. Doctor suggestions page Figure 13. Doctor appointment by sending message
  • 7. Int J Elec & Comp Eng ISSN: 2088-8708  An intelligent approach to take care of mother and baby health (Mohammad Nasser Uddin) 1143 7. COMPARISON The comparisons with other systems shown in Table 1. Table 1. The Comparisons with Other Systems System name Security Interactive Notification Instant Service Pregnancy Tracker Medium Yes No No Pregnancy Guide Low No No No An intelligent approach to take care of mother and baby health High Yes Yes Yes 8. CONCLUSION In this research, we have developed an intelligent approach to take care of mother and baby health. We have conducted this research to help our pregnant mother raise their self-care awareness. Using this application, an expectant mother can be worried free due to its many useful features. This system will work as an assistant as well as a guide to make tension free of the expectant mother. It is very nice and the user can easily use this application. Any people can track expectant mother health condition and get solution any time using this application. We have experimented in different Android phones and it has proved perfect. We think users will be benefited by using this application. REFERENCES [1] NasimKhozouie, FaranakFotouhi-Ghazvini, BehrouzMinaei-Bidgoli, “Ontological MobiHealth System,” Indonesian Journal of Electrical Engineering and Computer Science(IJEECS) Vol. 10, No. 1, pp. 309~319, April 2018. [2] Rohini R. Rao, KrishnamoorthiMakkithaya, “Learning from a Class Imbalanced Public Health Dataset: a Cost-based Comparison of Classifier Performance,” International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 4, pp. 2215~2222, August 2017. [3] Jong Won Lee, Han Kil Kim, Hoe Kyung Jung, “User Analysis Mechanisms based Mobile Fitness System,” International Journal of Electrical and Computer Engineering (IJECE) Vol. 6, No. 6, pp. 3154~3160, December 2016. [4] Sherin Sebastian, Neethu Rachel Jacob, YeduManmadhan, Anand V. R., M. J. Jayashree, “Remote Patient Monitoring System,” International Journal of Distributed and Parallel Systems (IJDPS),Vol.3, No.5, pp.99-110, September 2012. [5] Mackillop, Loerup, Bartlett, Gibson, Kenworthy, “Development of a real-time smartphone solution for the management of women with or at high risk of gestational diabetes,” Journal of Diabetes Science and Technology, Vol. 8(6), pp. 1105–1114, July 2014. [6] Internet:https://techterms.com/definition/smartphone,July 30, 2010 [July 05, 2017]. [7] Internet: https://www.techopedia.com/definition/25099/android-app [July 07, 2017]. [8] Internet: https://www.techopedia.com/definition/4928/web-server [July 07, 2017]. [9] Internet:https://dev.mysql.com/doc/refman/5.7/en/what-is-mysql.html, August 15, 2016 [June 21, 2017]. [10] Internet:http://www.geeksforgeeks.org/quick-sort, January 07, 2014 [June 25, 2017]. BIOGRAPHIES OF AUTHORS Mohammad Nasser Uddin was born on 02 February1983 at Chittagong, Bangladesh. He has completed his M.Sc.( Physics) in 2004 under the National University of Gazipur, Dhaka, Bangladesh and post-graduation (MSc in CSIT) in 2017 from Southern University Bangladesh, Chittagong. He is a Lecturer of Computer Science at Chittagong Port Women College, Chittagong under Chittagong Port Authority. He is also an MCSA certified. Mohammad Jahangir Alam was born in 1978 in Chittagong. He has completed post graduation (MSc in CSIT) in 2008 from Southern University Bangladesh, Chittagong. He is an Assistant Professor at the department of Computer Science and Information Technology in Southern University Bangladesh, Chittagong. He has published more than 10 technical papers in reputed national, International Journals and Conferences.
  • 8.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 2, April 2019 : 1137 - 1144 1144 Dr. Md.Nurul Mustafa was born on 6th June 1948 at Cox’s Bazar, Bangladesh. He has completed his M.Sc.( Physics) in 1970 from the University of Chittagong, Bangladesh. He joined as a Faculty Member at the same Department in 1973. He obtained his higher degree from Concordia University, Montreal, Canada in 1986 and came back and became Professor in 1992. He shifted to Computer Science and Engineering Department as Professor and founder Chairman in 2001 at the same University. After retirement from the University of Chittagong in 2014, Dr. Mustafa has been serving as a Professor of Computer Science at Southern University Bangladesh. He published more than forty-five research articles in the field of Radiation Physics and Computer Science in National and International Journals.