Clustering temporal step-counting patterns for 24 hours with machine learning revealed potential heterogeneity in the categorization by a traditional tertile procedure https://www.biorxiv.org/content/10.1101/2023.06.04.543652v1?med=mas
Clustering temporal step-counting patterns for 24 hours with machine learning revealed potential heterogeneity in the categorization by a traditional tertile procedure https://www.biorxiv.org/content/10.1101/2023.06.04.543652v1?med=mas