Reconsideration on evaluation of machine learning models in continuous monitoring using wearables

Cheng Ding; Cynthia Rudin; Fadi B Nahab; Ran Xiao; Xiao Hu; Zhicheng Guo

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arxiv 2312.02300 v1 pith:2C45EFUM submitted 2023-12-04 cs.LG eess.SP

Reconsideration on evaluation of machine learning models in continuous monitoring using wearables

Cheng Ding , Zhicheng Guo , Cynthia Rudin , Ran Xiao , Fadi B Nahab , Xiao Hu This is my paper

classification cs.LG eess.SP

keywords continuousevaluationmonitoringhealthlearningmachinemodelsbeyond

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This paper explores the challenges in evaluating machine learning (ML) models for continuous health monitoring using wearable devices beyond conventional metrics. We state the complexities posed by real-world variability, disease dynamics, user-specific characteristics, and the prevalence of false notifications, necessitating novel evaluation strategies. Drawing insights from large-scale heart studies, the paper offers a comprehensive guideline for robust ML model evaluation on continuous health monitoring.

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