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A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.
Strasser, Zachary H; Dagliati, Arianna; Shakeri Hossein Abad, Zahra; Klann, Jeffrey G; Wagholikar, Kavishwar B; Mesa, Rebecca; Visweswaran, Shyam; Morris, Michele; Luo, Yuan; Henderson, Darren W; Samayamuthu, Malarkodi Jebathilagam; Omenn, Gilbert S; Xia, Zongqi; Holmes, John H; Estiri, Hossein; Murphy, Shawn N.
Afiliação
  • Strasser ZH; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
  • Dagliati A; Department of Electrical Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Shakeri Hossein Abad Z; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
  • Klann JG; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
  • Wagholikar KB; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
  • Mesa R; Department of Electrical Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Luo Y; Department of Preventive Medicine, Northwestern University, Chicago, Illinois, United States of America.
  • Henderson DW; Center for Clinical and Translation Science, University of Kentucky, Lexington, Kentucky, United States of America.
  • Samayamuthu MJ; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Omenn GS; Dept of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, and School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Xia Z; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
  • Holmes JH; Department of Biostatistics, Epidemiology, and Informatics; Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.
  • Estiri H; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
  • Murphy SN; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
PLOS Digit Health ; 2(7): e0000301, 2023 Jul.
Article em En | MEDLINE | ID: mdl-37490472

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLOS Digit Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLOS Digit Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos