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Article

Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.

American journal of respiratory and critical care medicine - 1 Oct 2020

Sinha Pratik, Churpek Matthew M, Calfee Carolyn S

Abstract excerpt

Rationale: Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical outcomes and responses to randomly assigned treatment have consistently been identified in randomized controlled trial cohorts using latent class analysis. Plasma biomarkers, key components in phenotype identification, currently lack point-of-care assays and represent a barrier to the clinical...

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Identifiers

PMID: 32551817
DOI: 10.1164/rccm.202002-0347OC
PMCID: PMC7528785

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