Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible

Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible

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Established guidelines describe minimum requirements for reporting algorithms in healthcare; it is equally important to objectify the characteristics of ideal algorithms that confer maximum potential benefits to patients, clinicians, and investigators. We propose a framework for ideal algorithms, in...

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Bibliographic Details
Main Authors: Tyler J. Loftus, Patrick J. Tighe, Tezcan Ozrazgat-Baslanti, John P. Davis, Matthew M. Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R. Hogan, J. Randall Moorman, Gilbert R. Upchurch, Parisa Rashidi, Azra Bihorac
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754299/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754299/?tool=EBI

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