Extraction of clinical phenotypes for Alzheimer's disease dementia from clinical notes using natural language processing.

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Bibliographic Details
Title: Extraction of clinical phenotypes for Alzheimer's disease dementia from clinical notes using natural language processing.
Authors: Oh IY; Institute for Informatics, Washington University School of Medicine, St. Louis, Missouri, USA., Schindler SE; Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA., Ghoshal N; Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.; Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA., Lai AM; Institute for Informatics, Washington University School of Medicine, St. Louis, Missouri, USA., Payne PRO; Institute for Informatics, Washington University School of Medicine, St. Louis, Missouri, USA., Gupta A; Institute for Informatics, Washington University School of Medicine, St. Louis, Missouri, USA.; Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA.
Source: JAMIA open [JAMIA Open] 2023 Feb 24; Vol. 6 (1), pp. ooad014. Date of Electronic Publication: 2023 Feb 24 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2574-2531
DOI:10.1093/jamiaopen/ooad014