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"Physician understanding, explainability, and trust in a hypothetical ..."

William K. Diprose et al. (2020)

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DOI: 10.1093/JAMIA/OCZ229

access: closed

type: Journal Article

metadata version: 2020-05-30

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  - journals/jamia/DiproseBHTSR20
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  - https://dblp.org/rec/journals/jamia/DiproseBHTSR20
William K. Diprose, Nicholas Buist, Ning Hua, Quentin-Gabriel Thurier, George Shand, Reece Robinson:
Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator. J. Am. Medical Informatics Assoc. 27(4): 592-600 (2020)

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