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.
In2024 9th International Conference on Smart and Sustainable Technologies (SpliTech), 1–6 (IEEE, 2024)
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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.