The myth of generalisability in clinical research and machine learning in health care

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 consideratio...

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Veröffentlicht in:The Lancet. Digital health 2020-09, Vol.2 (9), p.e489-e492
Hauptverfasser: Futoma, Joseph, Simons, Morgan, Panch, Trishan, Doshi-Velez, Finale, Celi, Leo Anthony
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Sprache:eng
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Zusammenfassung: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.
ISSN:2589-7500
2589-7500
DOI:10.1016/S2589-7500(20)30186-2