A 3.4M-parameter foundation model pre-trained on step-count data alone achieves best AUROC on 20 of 21 health risk prediction tasks across multiple devices, regions, and diseases.
Z.et al.Predicting depression treatment outcome using daily step count sensory data.ACM Transactions on Comput
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Physical activities enable scalable foundation modelling for broad-spectrum health prediction
A 3.4M-parameter foundation model pre-trained on step-count data alone achieves best AUROC on 20 of 21 health risk prediction tasks across multiple devices, regions, and diseases.