Heart-Disease-Prediction and Heart-Disease-Prediction-System-using-Machine-Learning

These are direct competitors offering functionally equivalent heart disease prediction systems built with machine learning, where the kb22 implementation demonstrates superior performance (87% accuracy) and significantly greater community adoption (266 vs 5 stars).

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 4/25
Maturity 16/25
Community 12/25
Stars: 266
Forks: 194
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 5
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-2.0
Stale 6m No Package No Dependents
No Package No Dependents

About Heart-Disease-Prediction

kb22/Heart-Disease-Prediction

The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.

This project helps medical professionals or health data analysts quickly assess the likelihood of heart disease in patients. By inputting patient health metrics, it outputs a prediction of whether heart disease is present. This is designed for healthcare practitioners who need a rapid, data-driven initial screening tool.

cardiology patient-screening predictive-health medical-risk-assessment

About Heart-Disease-Prediction-System-using-Machine-Learning

nano-bot01/Heart-Disease-Prediction-System-using-Machine-Learning

A Heart Disease Prediction System built on machine learning

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