Claims‐Based Machine Learning Classifier of Modified Rankin Scale in Acute Ischemic Stroke
Among Medicare beneficiaries hospitalized for acute ischemic stroke, the claims-based classifier demonstrated excellent performance in area under the receiver operator characteristic curve, precision-recall area under the curve, sensitivity, and acceptable specificity for modified Rankin Scale classification.
Authors
- Deborah Blacker (ORCID: https://orcid.org/0000-0001-6107-7376)
- Michael Brandon Westover (ORCID: https://orcid.org/0000-0003-4803-312X)
- Aidan McDonald Wojciechowski
- Joseph P. Newhouse (ORCID: https://orcid.org/0000-0001-5837-3203)
- Rafaella Cazé de Medeiros (ORCID: https://orcid.org/0000-0001-6134-1528)
- Lidia M.V.R. Moura (ORCID: https://orcid.org/0000-0002-1191-1315)
- Maria A. Donahue (ORCID: https://orcid.org/0000-0002-5217-7794)
- Lee H. Schwamm (ORCID: https://orcid.org/0000-0003-0592-9145)
- Syed Ahsan (ORCID: https://orcid.org/0009-0005-1206-8023)
- Mamoon Habib
Institutions
- National Bureau of Economic Research (US)
- Harvard University (US)
- John F. Kennedy University (US)
- Harvard University Press (US)
- Yale University (US)
- Massachusetts General Hospital (US)
- Lahey Medical Center (US)
- Dana-Farber/Harvard Cancer Center (US)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1161/jaha.125.041635
- Citations
- 1
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 1.35