医疗保健
光学(聚焦)
人工智能
计算机科学
机器学习
风险分析(工程)
管理科学
心理学
工程伦理学
医学
工程类
政治学
光学
法学
物理
作者
Joseph Futoma,Morgan G. Simons,Trishan Panch,Finale Doshi‐Velez,Leo Anthony Celi
标识
DOI:10.1016/s2589-7500(20)30186-2
摘要
An emphasis on overly broad notions of generalisability as it pertains to applications of machine learning in health care can overlook situations in which machine learning might provide clinical utility. We believe that this narrow focus on generalisability should be replaced with wider considerations for the ultimate goal of building machine learning systems that are useful at the bedside.
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