Parsimonious Electronic Health Record-Based Models to Assign Subphenotypes in Children With Acute Respiratory Distress Syndrome

Pediatr Crit Care Med. 2025 May 1;26(5):e735-e737. doi: 10.1097/PCC.0000000000003733. Epub 2025 Mar 24.

Authors

Benjamin Yoon¹, Tellen D Bennett^{1

2}

Affiliations

¹ Department of Pediatrics (Critical Care Medicine), University of Colorado School of Medicine, Aurora, CO.
² Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO.

PMID: 40126068
PMCID: PMC12173451 (available on 2026-05-01)
DOI: 10.1097/PCC.0000000000003733

No abstract available

Keywords: acute respiratory distress syndrome; machine learning; pediatric; subphenotypes.

Grants and funding

K24 HL168225/HL/NHLBI NIH HHS/United States