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https://github.com/ayushai/pulsepatterns-heart-failure-clustering

This project uses clustering techniques to analyze a heart failure dataset and group patients based on ejection fraction and serum creatinine levels. By applying k-means, hierarchical clustering, and DBSCAN algorithms, the project identifies patterns that can help assess patient risk levels.
https://github.com/ayushai/pulsepatterns-heart-failure-clustering

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This project uses clustering techniques to analyze a heart failure dataset and group patients based on ejection fraction and serum creatinine levels. By applying k-means, hierarchical clustering, and DBSCAN algorithms, the project identifies patterns that can help assess patient risk levels.

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