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Presenting machine learning model information to clinical end users with model facts labels

There is tremendous enthusiasm surrounding the potential for machine learning to improve medical prognosis and diagnosis. However, there are risks to translating a machine learning model into clinical care and clinical end users are often unaware of the potential harm to patients. This perspective p...

詳細記述

保存先:
書誌詳細
出版年:NPJ Digit Med
主要な著者: Sendak, Mark P., Gao, Michael, Brajer, Nathan, Balu, Suresh
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7090057/
https://ncbi.nlm.nih.gov/pubmed/32219182
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-0253-3
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