Researchers use machine learning to predict exercise adherence

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

The team — Seungbak Lee and Ju-Pil Choe, both doctoral students in physical education, and Minsoo Kang, professor of sport analytics in the Department of Health, Exercise Science and Recreation Management — hopes to predict whether a person is meeting physical activity guidelines based on…

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News Source: www.sciencedaily.com

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