Heart-Disease-Prediction and Heart-Disease-Prediction-using-machine-and-deep-learning-techniques

These two projects are competitors, as both aim to predict heart disease using machine learning, with the first explicitly stating a higher accuracy and using a K-Neighbors Classifier, while the second uses a broader description of machine and deep learning techniques.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 10/25
Stars: 266
Forks: 194
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 6
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
Stale 6m No Package No Dependents
Stale 6m 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-using-machine-and-deep-learning-techniques

nano-bot01/Heart-Disease-Prediction-using-machine-and-deep-learning-techniques

Heart Disease Prediction using machine and deep learning techniques works on heart dataset

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