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

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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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
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000932
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