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

Autor:	Ding, Cheng, Guo, Zhicheng, Rudin, Cynthia, Xiao, Ran, Nahab, Fadi B, Hu, Xiao
Rok vydání:	2023
Předmět:	Computer Science - Machine Learning Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2312.02300 Zobrazit plný text záznamu View this record from Arxiv