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

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...

Full description

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://doi.org/10.1371/journal.pdig.0000006

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

Published 2022-01-01

Get full text

Article

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

Similar Items