Atqarana/API-heart-disease-ML-Model
ML model API that predicts heart disease risk using a refined Random Forest model for optimal accuracy.
This API provides a high-accuracy prediction of heart disease risk for individual patients. Medical professionals can input patient health data like age, sex, cholesterol, and blood pressure to receive a prediction and probability of heart disease. This tool is designed for healthcare providers, clinicians, and researchers involved in patient diagnosis and monitoring.
No commits in the last 6 months.
Use this if you need a reliable, data-driven assessment of heart disease risk for patients, integrating directly into existing healthcare applications or research platforms.
Not ideal if you are looking for a standalone application with a user interface, as this is a backend API requiring technical integration.
Stars
4
Forks
—
Language
HTML
License
—
Category
Last pushed
Oct 15, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Atqarana/API-heart-disease-ML-Model"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kritikaparmar-programmer/HealthCheck
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly...
kb22/Heart-Disease-Prediction
The project involves training a machine learning model (K Neighbors Classifier) to predict...
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
hallowshaw/PredictiX
PredictiX is a comprehensive multi-disease prediction system built using the MERN stack and...