RaziyeAkr/heart-attack-classification

In this notebook, I have reviewed several classification algorithms on datasets.

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Experimental

This project helps medical researchers or healthcare analysts compare different methods for predicting heart attacks. It takes in patient health data and outputs a comparison of how accurately various classification algorithms predict heart attack risk, using metrics like accuracy score and F1-score. This is designed for someone evaluating predictive models for health conditions.

No commits in the last 6 months.

Use this if you need to quickly assess and compare the performance of multiple standard machine learning algorithms for classifying heart attack risk.

Not ideal if you are looking for a ready-to-use application for patient diagnosis or a highly specialized model beyond common classification techniques.

medical-research predictive-health cardiology patient-risk-assessment healthcare-analytics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 14 / 25

How are scores calculated?

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Last pushed

Aug 22, 2022

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