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Reporting of demographic data and representativeness in machine learning models using electronic health records

OBJECTIVE: The development of machine learning (ML) algorithms to address a variety of issues faced in clinical practice has increased rapidly. However, questions have arisen regarding biases in their development that can affect their applicability in specific populations. We sought to evaluate whet...

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Detalles Bibliográficos
Publicado en:J Am Med Inform Assoc
Main Authors: Bozkurt, Selen, Cahan, Eli M, Seneviratne, Martin G, Sun, Ran, Lossio-Ventura, Juan A, Ioannidis, John P A, Hernandez-Boussard, Tina
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7727384/
https://ncbi.nlm.nih.gov/pubmed/32935131
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa164
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