Infi-09/Heart-Attack-Project

This project contains the jupyter notebook and the data used for the Machine Learning C;lassification problem

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Experimental

This project helps medical professionals or researchers predict a person's chances of having a heart attack. By inputting historical patient data, it provides a classification indicating the likelihood of a heart attack. This tool is for healthcare analysts, clinical researchers, or anyone involved in risk assessment for cardiovascular health.

No commits in the last 6 months.

Use this if you need to quickly assess heart attack risk based on existing patient health metrics.

Not ideal if you need a diagnostic tool for active patient care or real-time monitoring.

cardiology risk-assessment predictive-health patient-data-analysis medical-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Jupyter Notebook

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Last pushed

Nov 20, 2022

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