Article

Unsupervised Clustering Reveals Clinically Distinct Sepsis Phenotypes and Racial Disparities in ICU Outcome Classification: A Retrospective Cohort Study Using MIMIC-IV and eICU

2026-07-31

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose:</bold> Sepsis is a heterogeneous syndrome responsible for approximately 11 million deaths annually worldwide. Although unsupervised clustering has been proposed to identify clinically distinct sepsis phenotypes from electronic health records, no prior study has examined whether clustering features introduce racial measurement bias. We investigated whether creatinine-b...

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Literature Corpus work: 99a5dffa-6723-5211-be68-106b7b217f92
DOI: 10.21203/rs.3.rs-10508429/v1

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