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Chronic AI

Authors :
Adnan Sadiq
Syed Abubaker Ahmed
Syed Zayn
Publication Year :
2023
Publisher :
Zenodo, 2023.

Abstract

Chronic Ai is a web-based application developed using Flask, Python, and Machine Learning algorithms to predict multiple chronic diseases based on the health tests taken by the user. The application aims to provide an efficient and user-friendly way for people to monitor their health status and detect chronic diseases at an early stage. The system utilizes various data analysis and Machine Learning algorithms, such as Random Forest and Decision Trees, to predict and analyze health data. The application is designed to enable users to perform health tests online and get immediate results with recommendations for further actions. Moreover, Chronic Ai stores the user's health records and comprehensively analyzes their health history. The application's front end is designed to be user-friendly and easy to navigate, ensuring an excellent user experience. Additionally, the application has the functionality of sending test results to the user's email address, enabling them to keep track of their health records conveniently. Overall, Chronic Ai is an innovative solution to chronic disease prediction and prevention, providing a cost-effective and efficient way to monitor health status and prevent chronic diseases. The application's ability to store health records and send them to the user's email address makes it an excellent tool for people to manage their health proactively. Chronic Ai's user-friendly interface and comprehensive analysis make it an ideal solution for both users and healthcare providers

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi...........734ccdb06b32277b4edbb5661a755009
Full Text :
https://doi.org/10.5281/zenodo.8175365