CustomSoft India based software company developed wonderful software for Smart Health prediction using Data Mining for its esteemd Ckients from US, UK, Canada, Singapore, South Africa based clients
Health Prediction System - an Artificial Intelligence Project 2015Maruf Abdullah (Rion)
Health Prediction System - An Artificial Intelligence Project 2015
The project aimed to build a fully functional system in order to achieve the efficiency in faster heath treatment and online consultation system. The overall mission of system development is to make the primary treatment quickly and easily complete the Online Consultation System.
Smart health disease prediction python djangoShaikSalman28
mca final year project of Smart health disease prediction python django ppt. It is also helpful for mtech students also. Can anyone need this project coding then call me 9491831577. if you want extra projects then also u can call me . Smart health disease prediction python django price is 300rs.
following topics are discussed inside the PPT:
Introduction
Objective
Motivation
Literature Survey
Some Key Features of Disease
Plan of Action
Methodology Adopted
Data Collection
Steps to be Performed
Functional Architecture
with today's advanced technology like photoshop, paint etc. we need to understand some basic concepts like how they are cropping the image , tilt the image etc.
In our presentation you will find basic introduction of 2D transformation.
The data design action translates data objects into data structures at the software component level.
Data Design is the first and most important design activity. Here the main issue is to select the appropriate data structure i.e. the data design focuses on the definition of data structures.
Data design is a process of gradual refinement, from the coarse "What data does your application require?" to the precise data structures and processes that provide it. With a good data design, your application's data access is fast, easily maintained, and can gracefully accept future data enhancements.
Health Prediction System - an Artificial Intelligence Project 2015Maruf Abdullah (Rion)
Health Prediction System - An Artificial Intelligence Project 2015
The project aimed to build a fully functional system in order to achieve the efficiency in faster heath treatment and online consultation system. The overall mission of system development is to make the primary treatment quickly and easily complete the Online Consultation System.
Smart health disease prediction python djangoShaikSalman28
mca final year project of Smart health disease prediction python django ppt. It is also helpful for mtech students also. Can anyone need this project coding then call me 9491831577. if you want extra projects then also u can call me . Smart health disease prediction python django price is 300rs.
following topics are discussed inside the PPT:
Introduction
Objective
Motivation
Literature Survey
Some Key Features of Disease
Plan of Action
Methodology Adopted
Data Collection
Steps to be Performed
Functional Architecture
with today's advanced technology like photoshop, paint etc. we need to understand some basic concepts like how they are cropping the image , tilt the image etc.
In our presentation you will find basic introduction of 2D transformation.
The data design action translates data objects into data structures at the software component level.
Data Design is the first and most important design activity. Here the main issue is to select the appropriate data structure i.e. the data design focuses on the definition of data structures.
Data design is a process of gradual refinement, from the coarse "What data does your application require?" to the precise data structures and processes that provide it. With a good data design, your application's data access is fast, easily maintained, and can gracefully accept future data enhancements.
The recent emergence of machine learning and deep learning methods for medical image analysis has enabled the development of intelligent medical imaging-based diagnosis systems that can assist physicians in making better decisions about a patient’s health. In particular, skin imaging is a field where these new methods can be applied with a high rate of success.
This thesis focuses on the problem of automatic skin lesion detection, particularly on melanoma detection, by applying semantic segmentation and classification from dermoscopic images using a deep learning based approach. For the first problem, a U-Net convolutional neural network architecture is applied for an accurate extraction of the lesion region. For the second problem, the current model performs a binary classification (benign versus malignant) that can be used for early melanoma detection. The model is general enough to be extended to multi-class skin lesion classification. The proposed solution is built around the VGG-Net ConvNet architecture and uses the transfer learning paradigm. Finally, this work performs a comparative evaluation of classification alone (using the entire image) against a combination of the two approaches (segmentation followed by classification) in order to assess which of them achieves better classification results.
LEAF DISEASE DETECTION USING IMAGE PROCESSING AND SUPPORT VECTOR MACHINE (SVM)Journal For Research
in the study on leaf disease detection can be a helpful aspect in keeping an eye on huge area of fields of crops, but it’s important to detect the disease as early as possible. This paper gives a method to detect the disease caused to the leaf calculating the RGB and HSV values. Primarily the image is blurred in order reduce noise. Then the image is converted from RGB to HSV form, after this color thresholding is done. After thresholding foreground or background detection is performed. Background detection leads to feature extractions of the leaf. Then k-means algorithm is applied which can help to clot the clusters. The following system is a software based solution for detecting the disease with which the leaf is infected. In order to detect the disease some steps are to be followed using image processing and support vector machine. Improving the quality and production of agricultural products detection of the leaf disease can be useful.
We are predicting Heart Disease by Taking 14 Medical Parameters as an inputs through 2 data Minning Techniques(Decision Tree(Faster) And KNN neighbour Algorithms(Slower)).
And Visualizing The dataset.If the output 1 then it means Higher Chances of getting Heart Attack ,if 0 then it means Less chances of Heart Attack.
Polygon is a figure having many slides. It may be represented as a number of line segments end to end to form a closed figure.
The line segments which form the boundary of the polygon are called edges or slides of the polygon.
The end of the side is called the polygon vertices.
Triangle is the most simple form of polygon having three side and three vertices.
The polygon may be of any shape.
peas description of task environment with different types of propertiesmonircse2
Ai related Topics: PEAS: A task environment specification that includes Performance measure, Environment, Actuators, and Sensors. Agents can improve their performance through learning. This is a high-level presentation of agent programs.
An illumination model, also called a lighting model and sometimes referred to as a shading model, is used to calculate the intensity of light that we should see at a given point on the surface of an object.
Smart Health Prediction Using Data Mining.Data mining is a new powerful technology which is of high interest in computer world. It is a sub field of computer science that uses already existing data in different databases to transform it into new researches and results. It makes use of Artificial Intelligence, machine learning and database management to extract new patterns from large data sets and the knowledge associated with these patterns. The actual task is to extract data by automatic or semi-automatic means. The different parameters included in data mining includes clustering, forecasting, path analysis and predictive analysis.
Heart Disease Prediction Using Data Mining TechniquesIJRES Journal
There are huge amounts of data in the medical industry which is not processed properly and hence cannot be used effectively in making decisions. We can use data mining techniques to mine these patterns and relationships. This research has developed a prototype Heart Disease Prediction using data mining techniques, namely Neural Network, K-Means Clustering and Frequent Item Set Generation. Using medical profiles such as age, sex, blood pressure and blood sugar it can predict the likelihood patients getting a heart disease. It enables significant knowledge, e.g. patterns, relationships between medical factors related to heart disease to be established. Performance of these techniques is compared through sensitivity, specificity and accuracy. It has been observed that Artificial Neural Networks outperform K Means clustering in all the parameters i.e. Sensitivity, Specificity and Accuracy.
The recent emergence of machine learning and deep learning methods for medical image analysis has enabled the development of intelligent medical imaging-based diagnosis systems that can assist physicians in making better decisions about a patient’s health. In particular, skin imaging is a field where these new methods can be applied with a high rate of success.
This thesis focuses on the problem of automatic skin lesion detection, particularly on melanoma detection, by applying semantic segmentation and classification from dermoscopic images using a deep learning based approach. For the first problem, a U-Net convolutional neural network architecture is applied for an accurate extraction of the lesion region. For the second problem, the current model performs a binary classification (benign versus malignant) that can be used for early melanoma detection. The model is general enough to be extended to multi-class skin lesion classification. The proposed solution is built around the VGG-Net ConvNet architecture and uses the transfer learning paradigm. Finally, this work performs a comparative evaluation of classification alone (using the entire image) against a combination of the two approaches (segmentation followed by classification) in order to assess which of them achieves better classification results.
LEAF DISEASE DETECTION USING IMAGE PROCESSING AND SUPPORT VECTOR MACHINE (SVM)Journal For Research
in the study on leaf disease detection can be a helpful aspect in keeping an eye on huge area of fields of crops, but it’s important to detect the disease as early as possible. This paper gives a method to detect the disease caused to the leaf calculating the RGB and HSV values. Primarily the image is blurred in order reduce noise. Then the image is converted from RGB to HSV form, after this color thresholding is done. After thresholding foreground or background detection is performed. Background detection leads to feature extractions of the leaf. Then k-means algorithm is applied which can help to clot the clusters. The following system is a software based solution for detecting the disease with which the leaf is infected. In order to detect the disease some steps are to be followed using image processing and support vector machine. Improving the quality and production of agricultural products detection of the leaf disease can be useful.
We are predicting Heart Disease by Taking 14 Medical Parameters as an inputs through 2 data Minning Techniques(Decision Tree(Faster) And KNN neighbour Algorithms(Slower)).
And Visualizing The dataset.If the output 1 then it means Higher Chances of getting Heart Attack ,if 0 then it means Less chances of Heart Attack.
Polygon is a figure having many slides. It may be represented as a number of line segments end to end to form a closed figure.
The line segments which form the boundary of the polygon are called edges or slides of the polygon.
The end of the side is called the polygon vertices.
Triangle is the most simple form of polygon having three side and three vertices.
The polygon may be of any shape.
peas description of task environment with different types of propertiesmonircse2
Ai related Topics: PEAS: A task environment specification that includes Performance measure, Environment, Actuators, and Sensors. Agents can improve their performance through learning. This is a high-level presentation of agent programs.
An illumination model, also called a lighting model and sometimes referred to as a shading model, is used to calculate the intensity of light that we should see at a given point on the surface of an object.
Smart Health Prediction Using Data Mining.Data mining is a new powerful technology which is of high interest in computer world. It is a sub field of computer science that uses already existing data in different databases to transform it into new researches and results. It makes use of Artificial Intelligence, machine learning and database management to extract new patterns from large data sets and the knowledge associated with these patterns. The actual task is to extract data by automatic or semi-automatic means. The different parameters included in data mining includes clustering, forecasting, path analysis and predictive analysis.
Heart Disease Prediction Using Data Mining TechniquesIJRES Journal
There are huge amounts of data in the medical industry which is not processed properly and hence cannot be used effectively in making decisions. We can use data mining techniques to mine these patterns and relationships. This research has developed a prototype Heart Disease Prediction using data mining techniques, namely Neural Network, K-Means Clustering and Frequent Item Set Generation. Using medical profiles such as age, sex, blood pressure and blood sugar it can predict the likelihood patients getting a heart disease. It enables significant knowledge, e.g. patterns, relationships between medical factors related to heart disease to be established. Performance of these techniques is compared through sensitivity, specificity and accuracy. It has been observed that Artificial Neural Networks outperform K Means clustering in all the parameters i.e. Sensitivity, Specificity and Accuracy.
This describes the techniques that are used for prediction of heart diseases using the concept of data mining.It states about IHPDS(Intelligent Heart Disease Prediction System)
Psdot 14 using data mining techniques in heartZTech Proje
FINAL YEAR IEEE PROJECTS,
EMBEDDED SYSTEMS PROJECTS,
ENGINEERING PROJECTS,
MCA PROJECTS,
ROBOTICS PROJECTS,
ARM PIC BASED PROJECTS, MICRO CONTROLLER PROJECTS Z Technologies, Chennai
Healthcare is changing rapidly. It is clear that humans need mechanisms to automate some parts of data processing and help humans in decision making. This talk will concentrate on how to improve the machine understanding of unstructured data.
Personal Health Record and web 2.0: a new way for patients and citizen to collect, handle, and share their own health data - Presented at the XVI Congress of International Federation of Health Record Organizations - Milan, Italy November 18, 2010
Development of a Personal Health Record with a Diabetes Self-management Tool ...Liliana Laranjo
Development of a Personal Health Record with a Diabetes Self-management Tool for Portuguese-speaking patients (oral presentation)
• Medicine 2.0, September 2012 (Boston, USA)
• Medicine X, September 2012 (San Francisco, USA)
Created as a podcast for the Dental Informatics Online Community [http://www.dentalinformatics.com/], this is snapshot of what is going on with social technologies and Web 2.0 in various healthcare communities.
Doclick Solutions offering IEEE projects for final year students in the below domain IN OUR R&D DIVISION,
Networking
Data Distribution
Data Mining
Network Security
Image Processing
Parallel & Distribution Systems
Wireless Networks
Hadoop Big Data
Mobile Computing, Etc...
We Provide Projects on Following Topics:
IEEE Projects 2014,2015,2016.
Application Projects (PHP, JAVA/J2EE, ANDROID)
R-Style Lab: Smart Solutions for Healthcare ProvidersR-Style Lab
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We build robust, custom-built healthcare software solutions for multiple industry verticals, including hospitals, physicians, clinics, public health and research organizations, and ancillary facilities. Our experts uniquely combine the power of analytics, automation, and intelligence to spark transformation for our clients and help them inspire better care outcomes for relatively lesser costs.
The healthcare sector has rapidly changed over the last few
decades, and this trend will continue in 2023. The COVID-19
pandemic accelerated the need for digital transformation in the
healthcare industry. More healthcare organizations are investing in custom healthcare software development to streamline medical operations, deliver quality care, and improve the patient experience. Custom software applications in the healthcare industry
automate various operations, including EHR, EMR, medical billing, appointment scheduling, inventory management, and more. Thus, it enables hospitals, physicians, and other care providers to focus on patient care.
Telemedicine App Development: Types, Features, Technologies, Benefits, and CostDashTechnologiesInc
When you choose a healthcare web/mobile app development company, you will estimate the work needed and pricing. Also, make sure you know the developers billing for after-deployment management or maintenance.
No industry is trailing behind in significant technological advancement, and if we say “healthcare industry” is the most advanced after the pandemic. The healthcare sector uses all the necessary technologies to stay on top, including software streamlining staff management, improving patient care quality, and enhancing customer service.
There are several benefits to utilizing all technological advancements in the healthcare field. Technology directly affects human health and lifespan, which is a unique benefit. The technology revolution that is about to transform healthcare will present unforeseen opportunities.
Read Originally Published Blog: https://evincedev.com/blog/types-of-healthcare-software-development/
Healthcare IT solutions can be broadly classified into two types: business-centric and patient-centric. Let us take a look at both. Whether you are looking to develop a ready-made or custom healthcare software solution, EMed HealthTech can help you build the right solution for your organization. Request a free quote for your specific requirement.
Rise of on demand apps and services in healthcareZymr Inc
As convenience and comfort have become buzzwords among healthcare marketers, the adoption of “on-demand service” model has become a necessity. This presentation highlights the advantages of on-demand medicine apps and sheds some light upon Zymr's Healthcare services.
CustomSoft provides Software development services like Website Design and Development for Insurance, Healthcare, Retail, Hotel, Real Estate, Shipping, Logistic, E-Learning Solution and other IT related works.
Comprehensive Healthcare Software Development Services.pdfAgile Infoways LLC
Here are the Comprehensive Healthcare Software Development Services for your healthcare organization. This blog elaborates on everything you need to know about!
https://www.agileinfoways.com/blogs/comprehensive-healthcare-software-development-services/
List of most popular healthcare software to implement in 2023.pdfMobibizIndia1
The advancement in digital technologies has helped business areas across the globe, especially healthcare services. Medical organizations are enhancing their services via implementing emerging technologies like healthcare IT solutions for optimized performance.
Digital transformation of health insurance vikasr2508
this is a proposed solution to the challenges & changing roles of health insurance companies in the digital age.Changing expectations of digital consumer, increasing incidence of life style related NCDs & increasing cost of healthcare delivery requires new thinking. Digital tools can help health insurers stay connected & impact behaviours of consumers to improve their health & reduce costs.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
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2. Smart Health Prediction using Data
Mining by CustomSoft
Data mining is a new powerful technology
which is of high interest in computer world. It is a
sub field of computer science that uses already
existing data in different databases to transform it
into new researches and results.
3. Smart Health Prediction using Data
Mining by CustomSoft
Smart Health Prediction using data mining by
CustomSoft allows users to get instant guidance on
their health issues through Web Based healthcare
system. This system is fed with various symptoms and
the disease/illness associated with those systems. The
system allows user to share their symptoms and issues.
It then processes users symptoms to check for various
illness that could be associated with it.
4. Smart Health Prediction using Data
Mining by CustomSoft
Features
• Patient Registration
• Patient information form
• Patient Queries
• Image upload facility
• various symptoms and the disease/illness associated with
those systems
• Doctors information
• Chat facility
• Reports upload facility
• Payment Gateway
• Review and feedback
5. About CustomSoft
CustomSoft is a complete Software Services Provider
Company based in India.
CustomSoft provides full range of Software development
services like Website Design and Development for Insurance,
Healthcare, Retail, Hotel, Real Estate, Shipping, Logistic, E-Learning
Solution and other IT related works.
CustomSoft provide complete IT business solutions to
organization who would like to have a Web presence for Business.
6. Contact CustomSoft
To Contact CustomSoft:
http://www.custom-soft.com/contact_us.html
To know more about CustomSoft:
http://www.custom-soft.com/about_us.html
Visit: www.custom-soft.com
Healthcare : https://www.linkedin.com/company/custom-
soft-healthcare-software?trk=biz-brand-tree-co-name
Email: info@custom-soft.com
7. OUR CORE VALUES
• 24/7 Support from CustomSoft Team
• Professional project handling by skilled developers
• Workflow Transparency
• Innovation and Creativity
• Client Satisfaction
• Reliability and Trust
• Dedication & Honesty
• Professional Approach