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Identifying clinical phenotypes of frontotemporal dementia in post-9/11 era veterans using natural language processing.
Panahi, Samin; Mayo, Jamie; Kennedy, Eamonn; Christensen, Lee; Kamineni, Sreekanth; Sagiraju, Hari Krishna Raju; Cooper, Tyler; Tate, David F; Rupper, Randall; Pugh, Mary Jo.
Afiliação
  • Panahi S; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
  • Mayo J; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
  • Kennedy E; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
  • Christensen L; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
  • Kamineni S; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
  • Sagiraju HKR; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
  • Cooper T; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
  • Tate DF; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
  • Rupper R; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
  • Pugh MJ; Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Front Neurol ; 15: 1270688, 2024.
Article em En | MEDLINE | ID: mdl-38426171

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article