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Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study.
Chin, Yen Po Harvey; Song, Wenyu; Lien, Chia En; Yoon, Chang Ho; Wang, Wei-Chen; Liu, Jennifer; Nguyen, Phung Anh; Feng, Yi Ting; Zhou, Li; Li, Yu Chuan Jack; Bates, David Westfall.
Afiliação
  • Chin YPH; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
  • Song W; College of Medical Science and Technology, Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan.
  • Lien CE; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Yoon CH; Doctor of Public Health Program, Harvard TH Chan School of Public Health, Boston, MA, United States.
  • Wang WC; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
  • Liu J; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States.
  • Nguyen PA; Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Feng YT; College of Medical Science and Technology, Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan.
  • Zhou L; International Center for Health Information Technology, Taipei Medical University, Taipei City, Taiwan.
  • Li YCJ; College of Medical Science and Technology, Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan.
  • Bates DW; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
JMIR Med Inform ; 9(1): e23454, 2021 Jan 27.
Article em En | MEDLINE | ID: mdl-33502331

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos