A Claims-based Machine Learning Model to Classify Modified Rankin Scale at Stroke Discharge (P6-14.012)
We validated a Medicare claims-based classifier to assess stroke severity, as measured by the Modified Rankin Scale (mRS) at discharge, among Medicare beneficiaries hospitalized for acute ischemic stroke (AIS).
Authors
- Michael Brandon Westover (ORCID: https://orcid.org/0000-0003-4803-312X)
- Joseph P. Newhouse (ORCID: https://orcid.org/0000-0001-5837-3203)
- Rafaella Cazé de Medeiros (ORCID: https://orcid.org/0000-0001-6134-1528)
- Adam Wojciechowski (ORCID: https://orcid.org/0000-0003-3786-7225)
- Lidia M.V.R. Moura (ORCID: https://orcid.org/0000-0002-1191-1315)
- Syed Ahsan (ORCID: https://orcid.org/0000-0001-9545-9903)
- Lee H. Schwamm (ORCID: https://orcid.org/0000-0003-0592-9145)
- Mamoon Habib
Institutions
- Harvard University Press (US)
- Massachusetts General Hospital (US)
- Yale New Haven Health System (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211896
- Citations
- 1
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.67