Kumar-laxmi/Heart-Disease-Prediction-System
Heart Disease Prediction System using Machine Learning
Combines Naive Bayes, Decision Tree, Gradient Boosting, and logistic regression algorithms trained on 13 clinical parameters (age, blood pressure, cholesterol, etc.) to classify heart disease risk levels. Built as a Django web application with role-based access for patients, doctors, and admins—patients receive predictions plus locality-based doctor recommendations, while administrators manage datasets and doctor profiles through SQLite persistence.
No commits in the last 6 months.
Stars
41
Forks
13
Language
Python
License
—
Category
Last pushed
Aug 10, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Kumar-laxmi/Heart-Disease-Prediction-System"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
kb22/Heart-Disease-Prediction
The project involves training a machine learning model (K Neighbors Classifier) to predict...
kritikaparmar-programmer/HealthCheck
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly...
chayandatta/Heart_disease_prediction
Heart Disease prediction using 5 algorithms
nano-bot01/Heart-Disease-Prediction-System-using-Machine-Learning
A Heart Disease Prediction System built on machine learning
abhayshah0305/RiskAssess
A web application that predicts if a patient has cancer, diabetes, heart disease, kidney...