Explaining alerts from a pediatric risk prediction model using clinical text
We developed pCART Explainer, a novel algorithm that highlights text within clinical notes to provide medically relevant context about deterioration alerts, thereby improving the explainability of the pCART model.
Authors
- Neil Munjal
- Anoop Mayampurath (ORCID: https://orcid.org/0000-0002-3010-6960)
- Nicholas Kuehnel (ORCID: https://orcid.org/0000-0002-3638-8911)
- Priti Jani
- Dmitriy Dligach (ORCID: https://orcid.org/0000-0002-2585-2707)
- Majid Afshar (ORCID: https://orcid.org/0000-0002-6368-4652)
- Kyle A. Carey (ORCID: https://orcid.org/0000-0002-5038-6074)
- Matthew M. Churpek (ORCID: https://orcid.org/0000-0002-4030-5250)
- Yanjun Gao (ORCID: https://orcid.org/0000-0002-9341-7360)
- Samuel Nycklemoe
- Sriharsha Devarapu
Institutions
- University of Wisconsin–Madison (US)
- Loyola University Chicago (US)
- University of Chicago (US)
- University of Colorado Anschutz Medical Campus (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-07-14
- DOI
- https://doi.org/10.1093/jamia/ocaf121
- Citations
- 1
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- National Heart, Lung, and Blood Institute
- U.S. National Library of Medicine