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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52237
Volume:
9 |
8 |
Aug 2025
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.
The Precision Health Disease Prediction System is a web-based application that uses Artificial Intelligence to predict the chances of lung cancer, obesity, and blood pressure-related problems. It applies machine learning models such as Logistic Regression, Random Forest, and Support Vector Machine, trained on medical datasets to provide accurate results. The system is designed to help in early disease detection, provide personalized health advice, and guide patients to the right doctors. It also supports multi-disease prediction in a single step, generates professional PDF reports, tracks patient history, and stores information securely. Developed with Python, Streamlit, and SQLite, it is lightweight, user-friendly, and suitable for both urban and rural healthcare settings.
KEYWORDS
Publication Date
8/29/2025
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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