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Design and implementation of a hybrid machine learning framework for predicting heart rate status.

Sci Rep · 2026 · PMC13369144 · PMID 42143129

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From this, it is noticeable that most variables’ means, such as speed, slope, temperature, and duration, follow an increasing trend for higher Heart Rate Intensity, signifying uniformity in most attributes, whereas humidity is more irregular in its distribution, which could influence classification as an attribute of uncertainty.

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