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

Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Fadi B Nahab +1 more
12/4/2023
cs.LGeess.SP

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Abstract

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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Cite this paper

@article{ding2023reconsideration,
  title  = {Reconsideration on evaluation of machine learning models in continuous monitoring using wearables},
  author = {Cheng Ding and Zhicheng Guo and Cynthia Rudin and Ran Xiao and Fadi B Nahab and Xiao Hu},
  year   = {2023},
  eprint = {2312.02300},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.02300v1}
}

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