Paper 13 ehb 2020 (1)

Mobile application for the monitoring and
control of the diet in people with Anemia
Universidad Autónoma del Perú
Universidad Nacional del Callao, Perú
International Conference on e-Health and Bioengineering
EHB 2020 - 8-th Edition
29-30 October 2020, Iasi - WEB CONFERENCE - Romania
Harold Ñahuiña-Balbuena
Michael A. Cabanillas-Carbonell
Jhan Soto-Justiniano,
Oswaldo Casazola-Cruz

2
8th IEEE International Conference on e-Health and Bioengineering EHB 2020
Outline
Introduction
Methodology
Development
Results
Conclusions

3
Introduction
According to WHO, there are an estimated two billion people in the
world with anaemia, an estimated 50 per cent of children are anaemic
and 47 per cent of pre-school children have iron deficiency anaemia
(lack of iron). The prevalence of anemia is shown in school-aged
children, pregnant women, and non-pregnant women.
Anemia originates when the concentration of hemoglobin within red
blood cells is lower than normal, resulting in poorer ability of the
blood to carry oxygen to the body's tissues; this condition is mostly
caused by nutritional deficiency, mainly of iron, in addition to folate,
vitamin B12 and A. In many cases, when diets are poor in
micronutrients, multiple micronutrient deficiencies can have a
synergistic effect on the development of anemia.

4
Introduction
Different researches have been carried out for efficient
solutions where it has been identified that iron
deficiency can be caused by pregnancy, growth or
inadequate diet, giving as a solution an iron fortification
in wheat and corn flour following a balanced diet., these
results indicate that adverse effects can be prevented
and/or reversed with iron earlier in development or
before iron deficiency becomes severe or chronic.

5
Methodoloty
A. Concepts to take into account about Anemia
TABLE I
HAEMOGLOBIN LEVELS (G/L) TO DIAGNOSE ANAEMIA AT SEA LEVEL
ANAEMIA
Population, age No anaemia Mild Moderate Severe
Children, 6-59 months ≥ 110 100 - 109 70 – 99 < 70
Children, 5-11 years ≥ 115 110 - 114 80 – 109 < 80
Children, 12-14 years ≥ 120 110 - 119 80 – 109 < 80
Non-pregnant women,
15 years and above
≥ 120 110 - 119 80 – 109 < 80
Pregnant women ≥ 110 100 - 109 70 – 99 < 70
Men, 15 years and above ≥ 130 110 - 129 80 – 109 < 80

6
Methodoloty
TABLE II
ALTITUDE ADJUSTMENTS TO MEASURE HAEMOGLOBIN
CONCENTRATIONS
ALTITUDE < 1000 1000 1500 2000 3000 4000 4500
ANAEMIA 0 -2 -5 -8 -19 -35 -45
Altitude: It is an influential factor so well for the calculation of
hemoglobin, it will be readjusted according to the following table:

7
Methodoloty
B. Desing of the Metodology
1) Observe: We have the support of the Respirando2 clinic which will allow
us to communicate about the development of the research.
2) Define: We collect all information about the monitoring of the diets left by
the doctor to patients suffering from Anemia.
3) Devise: The design of the application is built according to the information
collected in previous researches and by the surveys.
4) Prototype: The application is developed in Flutter which is the google
framework, the Dart programming link will be used. It will be connected to
the clinic's demo platform using MySql database to register the food history.
5) Evaluate and test the products: The compliance with the daily diet is
monitored both in the System and in surveys, at the time of their respective
medical check-up, here the conclusions of the research are determined.

8
Methodoloty
C. Programs to be used:
Flutter: Flutter is Google's UI toolkit for making natively compiled
android and ios applications for mobile, web and desktop from a
single code base.
Dart: It is the object oriented programming language that was chosen
to be used with flutter, since it is open source and was created by
Google.
Php: We use this programming language for the creation of the API's
(Backend) and for our web system.
PhpMyAdmin. Tool that offers control panels cpanel of Hostinet web
hosting with which to manage mysql databases.

9
Development
A. General system architecture
Fig. 1. System architecture.

10
Development
B. Framework of the Project
Fig. 2 Start up and user registration.

11
Development
Fig. 3 Application interfaces for doctors
The doctor will have a similar application, but with the following
interfaces:

12
Development
Fig. 4 User-assigned diet

13
https://web.ins.gob.pe/es/prensa/guias-alimentarias
According to the Food Guide of the Peruvian population

14
Development
Fig. 5 Health center web system interface.

15
Development
Algorithm: Estimation diagnosis

16
RESULTS
The study of the patients was in the city of Lima, which is at an
altitude of 100m, therefore, the application did not make any
adjustment to the hemoglobin indicated in Table II.
The 150 patients in our study, according to their age and
hemoglobin level indicated in Table I were collected as follows:
TABLE III
USER DISTRIBUTION
Population, age Mild Moderate Severe TOTAL
Children, 6-59 months 12 8 2 22
Children, 5-11 years 17 8 4 29
Children, 12-14 years 13 10 3 26
Non-pregnant women,
15 years and above
12 9 5 26
Pregnant women 11 10 4 25
Men, 15 years and above 12 7 3 22
TOTAL 150

17
RESULTS
Below is the result of the application acceptability tests, performed
on users, where 10 is the maximum score:
Indicators Score Description
1 The application is user-friendly and easy to use 9.1
Highly
Acceptable
2 The graphical design is modern and very attractive 8.8 Acceptable
3 The application correctly schedules the diet to follow 9.3
Highly
Acceptable
4 The nutritional content is satisfactory and detailed 8.6 Acceptable
5
The application grades correctly according to the user's
progress
8.5 Acceptable
6
Graphic recognition (emoticons) motivates compliance with
programmed diets
9.0
Highly
Acceptable
7
Instructions on how to use the application is clear and easy
to understand
8.9 Acceptable
8
The application helps to schedule and improve our daily
nutritional intake
9.5
Highly
Acceptable
9 No errors or misconfigurations in use 9.3
Highly
Acceptable
10
Thanks to the application it is possible to keep track of
hemoglobin
9.4
Highly
Acceptable
11 I would recommend the application 9.1
Highly
Acceptable
TABLE IV
APPICATION
ACCEPTABILITY TESTS

18
Results
The following is the result of the people distributed according to Table I, who
improved their condition of anemia from severe to moderate, mild or in normal
ranges, by respecting the diet assigned in the application, between each medical
appointment:
Fig. 6
Improvement results

19
Conclusions
• It is concluded that the "mobile application for monitoring and
control of the diet in people with anaemia" exposed, helps to be
able to assign a diet in an automatic and effective way,
following the national and international parameters shown in
tables 1 and 2.
• The application, which is 91.3% effective, motivates people to
follow a diet according to their hemoglobin type, assigned by
the doctor, and improves the level of anemia between each
medical consultation.
• It allows the health center to keep a history per patient and
follow up on diet compliance in relation to what has been
consumed daily.

Mobile application for the monitoring and
control of the diet in people with Anemia
Universidad Autónoma del Perú
Universidad Nacional del Callao, Perú
Michael A. Cabanillas-Carbonell
Harold Ñahuiña-Balbuena
Jhan Soto-Justiniano,
Oswaldo Casazola-Cruz

Paper 13 ehb 2020 (1)

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