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Published May 9, 2025 | Version v2
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Unveiling Latent Cardiac Risk Profiles: Unsupervised Cluster-ing of ECG Data

  • 1. ROR icon Frantsevich Institute for Problems in Materials Science

Description

General statistical characteristics of the considered datasets considered in the article "Unveiling Latent Cardiac Risk Profiles: Unsupervised Cluster-ing of ECG Data"

The presented table displays the minimum, maximum, mean, and standard deviation values for features across the datasets.

Female has been encoded as 0, male as 1

Python scripts used to deal with data for the corresponding article are also included.

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Additional details

Dates

Available
2025-04-23

References

  • 123456