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arXiv · 2312.02300

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
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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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Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Fadi B Nahab, Xiao Hu. 2023-12-04. Reconsideration on evaluation of machine learning models in continuous monitoring using wearables. https://arxiv.org/abs/2312.02300

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