Early adverse physiological event detection using commercial wearables: challenges and opportunities

Abstract Data from commercial off-the-shelf (COTS) wearables leveraged with machine learning algorithms provide an unprecedented potential for the early detection of adverse physiological events. However, several challenges inhibit this potential, including (1) heterogeneity among and within partici...

詳細記述

書誌詳細

出版年:	npj Digital Medicine
主要な著者:	Jesse Phipps, Bryant Passage, Kaan Sel, Jonathan Martinez, Milad Saadat, Teddy Koker, Natalie Damaso, Shakti Davis, Jeffrey Palmer, Kajal Claypool, Christopher Kiley, Roderic I. Pettigrew, Roozbeh Jafari
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2024-05-01
オンライン･アクセス:	https://doi.org/10.1038/s41746-024-01129-1