Heart-Disease-Prediction and HEART-DISEASE

Heart-Disease-Prediction

Established

HEART-DISEASE

Experimental

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 10/25

Adoption 3/25

Maturity 16/25

Community 0/25

Stars: 266

Forks: 194

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stars: 3

Forks: —

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

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

Aryanwadhwa14/HEART-DISEASE

This project predicts heart disease using ML and DL models while also clustering patients based on clinical features. It combines prediction with segmentation to provide deeper insights into heart disease risks.

Related comparisons

Heart-Disease-Prediction and Heart_disease_prediction Heart-Disease-Prediction and Heart-Disease-Prediction-System-using-Machine-Learning Heart-Disease-Prediction and Heart-Disease-Prediction-System Heart-Disease-Prediction and Heart-Disease-Prediction-using-machine-and-deep-learning-techniques Heart-Disease-Prediction and predicting-heart-disease Heart-Disease-Prediction and Heart-Disease-Predictor

Scores updated daily from GitHub, PyPI, and npm data. How scores work