AI RESEARCH
Adaptive data selection improves wearable prediction under low baseline performance
arXiv CS.AI
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ArXi:2606.00141v1 Announce Type: cross Adaptive sensing strategies that selectively sample data are increasingly used in wearable health systems to improve prediction performance under limited data budgets, yet their benefits across individuals remain poorly understood. Here, we evaluate adaptive selection of time windows for model