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Examining physical activity clustering using machine learning revealed a diversity of 24-hour step-counting patterns.
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- Journal of Activity, Sedentary & Sleep Behaviors, 2024, v. 3, n. 1, p. 1, doi. 10.1186/s44167-024-00059-3
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- Article
Dietary patterns associated with the incidence of hypertension among adult Japanese males: application of machine learning to a cohort study.
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- European Journal of Nutrition, 2024, v. 63, n. 4, p. 1293, doi. 10.1007/s00394-024-03342-w
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- Article
Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach.
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- BMC Public Health, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12889-024-18759-5
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- Article
Low Back Pain Exacerbation Is Predictable Through Motif Identification in Center of Pressure Time Series Recorded During Dynamic Sitting.
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- Frontiers in Physiology, 2021, v. 12, p. 1, doi. 10.3389/fphys.2021.696077
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- Article