Large Language Models for Psychiatric Phenotype Extraction from Electronic Health Records.

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Bibliographic Details
Title: Large Language Models for Psychiatric Phenotype Extraction from Electronic Health Records.
Authors: Frydman-Gani C; Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA., Arias A; Department of Mental Health and Human Behavior, University of Caldas, Manizales, Colombia., Vallejo MP; Research Group in Psychiatry (GIPSI), Department of Psychiatry, School of Medicine, Universidad de Antioquia, Medellin, Colombia., Londoño Martínez JD; Research Group in Psychiatry (GIPSI), Department of Psychiatry, School of Medicine, Universidad de Antioquia, Medellin, Colombia., Valencia-Echeverry J; Research Group in Psychiatry (GIPSI), Department of Psychiatry, School of Medicine, Universidad de Antioquia, Medellin, Colombia., Castaño M; Department of Mental Health and Human Behavior, University of Caldas, Manizales, Colombia., Bui AAT; Department of Radiological Sciences, University of California Los Angeles, California, USA., Freimer NB; Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA., Lopez-Jaramillo C; Research Group in Psychiatry (GIPSI), Department of Psychiatry, School of Medicine, Universidad de Antioquia, Medellin, Colombia., Olde Loohuis LM; Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2025 Aug 12. Date of Electronic Publication: 2025 Aug 12.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.1101/2025.08.07.25333172