Predicting Neurological Recovery from Coma Post-cardiac Arrest Using Natural Language Processing (P7-7.006)
Predict neurologic outcomes for comatose patients following cardiac arrest using natural language processing from electronic health records (EHR).
Authors
- Edilberto Amorim (ORCID: https://orcid.org/0000-0001-6972-5622)
- Gerardo Velasquez
- Ori J. Lieberman (ORCID: https://orcid.org/0000-0002-0467-0875)
- Marta Fernandes (ORCID: https://orcid.org/0000-0002-7203-2832)
- Michael Brandon Westover (ORCID: https://orcid.org/0000-0003-4803-312X)
- Bo Zhou (ORCID: https://orcid.org/0000-0002-7973-1185)
- Kevin Bao (ORCID: https://orcid.org/0000-0001-9389-1268)
- Claude Hemphill
- Parker Houston
- Sophie Furlow
- Amanjot Bains
- Kinshuk Basu
Institutions
- University of California, San Francisco (US)
- Massachusetts General Hospital (US)
- Indiana University School of Medicine
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211071
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00