Natural Language Processing to Automate Cerebrovascular Event Identification in Stroke Alerts
We successfully labeled a large registry of stroke alerts using weak labeling. This framework can potentially be extended to other clinical data sets.
Authors
- Ankita Tripathi (ORCID: https://orcid.org/0000-0003-3059-6434)
- Adam M. Karp (ORCID: https://orcid.org/0000-0001-9187-7980)
- Asala N. Erekat (ORCID: https://orcid.org/0000-0002-8111-4610)
- Girish N. Nadkarni (ORCID: https://orcid.org/0000-0001-6319-4314)
- Mark J. Kupersmith
- Margaret Downes (ORCID: https://orcid.org/0000-0003-2596-5151)
- Benjamin R. Kummer (ORCID: https://orcid.org/0000-0002-1413-8014)
- Bradley N. Delman (ORCID: https://orcid.org/0000-0002-9792-8942)
- Laura Stein (ORCID: https://orcid.org/0000-0002-8268-616X)
Institutions
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Stroke Vascular and Interventional Neurology
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1161/svin.125.001846
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43