Raising awareness of potential biases in medical machine learning: Experience from a Datathon.

<h4>Objective</h4>To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score.<h4>Methods</h4>Over a two-day period (total el...

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Bibliographic Details
Published in:	PLOS Digital Health
Main Authors:	Harry Hochheiser, Jesse Klug, Thomas Mathie, Tom J Pollard, Jesse D Raffa, Stephanie L Ballard, Evamarie A Conrad, Smitha Edakalavan, Allan Joseph, Nader Alnomasy, Sarah Nutman, Veronika Hill, Sumit Kapoor, Eddie Pérez Claudio, Olga V Kravchenko, Ruoting Li, Mehdi Nourelahi, Jenny Diaz, W Michael Taylor, Sydney R Rooney, Maeve Woeltje, Leo Anthony Celi, Christopher M Horvat
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2025-07-01
Online Access:	https://doi.org/10.1371/journal.pdig.0000932

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