Healthcare AI Web Application for Disease Prediction
DOI:
https://doi.org/10.55011/wen17m60Keywords:
Disease Prediction, Predictive Healthcare, Multi-disease Detection, Healthcare analytics, Artificial intelligence, Machine Learning, Classification Models, Web-based Healthcare SystemAbstract
This project develops a Healthcare AI Web Applica tion that leverages Using machine learning to spot diseases early provide users with instant, accessible health insights.This system runs on Flask and uses things like Random Forest and Logistic Regression to check out health data– stuff like blood pressure, sugar, age, the usual. It cleans up the data and learns from actual medical records to spot risks for diabetes, heart trouble, and other diseases.It’s got a simple website where patients and doctors can type in info and get quick predictions. The results are easy to see. It uses a safe SQLite database to store everything.The point here is to help people, especially where healthcare is hard to get, diagnoses take too long, and there aren’t enough specialists. It’s not meant to switch out a doctor, but it can help people keep an eye on their health.