Article

Assessment of sex and racial biases in electronic health records of emergency department patients with acute coronary syndrome

2022-06-08

Abstract excerpt

<title>Abstract</title> <p>Background Electronic health records (EHRs) contain individualized patient data that can be used to develop diagnostic and risk prediction models with artificial intelligence (AI) algorithms. Explicit and implicit sources of bias embedded in EHRs may hinder generalizable model performance and perpetuate bias. Objective This study explores the question of how existing sex and racial di...

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Literature Corpus work: f7324507-e13f-538a-9d3c-29b3cab2b48a
DOI: 10.21203/rs.3.rs-1735655/v1

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