Supervised machine learning compared to large language models for identifying functional seizures from medical records.
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| Title: | Supervised machine learning compared to large language models for identifying functional seizures from medical records. |
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| Authors: | Kerr WT; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.; Department of Neurology, University of California, Los Angeles, Los Angeles, California, USA.; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA.; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., McFarlane KN; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Pucci GF; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Carns DR; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Israel A; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Vighetti L; Department of Social Work, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Pennell PB; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Stern JM; Department of Neurology, University of California, Los Angeles, Los Angeles, California, USA., Xia Z; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Wang Y; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.; Intelligent Systems Program, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.; Department of Health Information Management, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. |
| Source: | Epilepsia [Epilepsia] 2025 Apr; Vol. 66 (4), pp. 1155-1164. Date of Electronic Publication: 2025 Feb 17. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Blackwell Science Country of Publication: United States NLM ID: 2983306R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1167 (Electronic) Linking ISSN: 00139580 NLM ISO Abbreviation: Epilepsia Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1528-1167 |
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| DOI: | 10.1111/epi.18272 |
