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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM16857
Volume:
6 |
11 |
Nov 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Access to timely and quality healthcare remains a significant global challenge, especially in regions with a shortage of healthcare professionals and limited medical infrastructure. Health Insights is a Flask-based web application designed to bridge this gap by providing a user- friendly, AI-powered healthcare management system. The system facilitates secure patient and doctor registration, appointment scheduling, and an AI-driven disease prediction module based on a Random Forest Classifier trained on a medical dataset containing 4,920 patient records and 132 symptoms. The model achieved 100% accuracy in predicting 41 different diseases during validation, demonstrating its potential as adiagnostic aid. Beyond disease prediction, Health Insights integrates a mental health analysis module and a lung cancer risk assessment system using machine learning techniques.
KEYWORDS
Publication Date
5/6/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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