This paper is in the following e-collection/theme issue:

Machine Learning (1400) Safety and Error Prevention in Health (187) Computerized Provider Order Entry (CPOE) (21) Decision Support for Health Professionals (1145) ePrescribing and Innovations in Pharmacies (47)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23454, first published .
Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study

Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study

Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study

Authors of this article:

Yen Po Harvey Chin1, 2 Author Orcid Image ;   Wenyu Song3 Author Orcid Image ;   Chia En Lien4 Author Orcid Image ;   Chang Ho Yoon1 Author Orcid Image ;   Wei-Chen Wang5 Author Orcid Image ;   Jennifer Liu6 Author Orcid Image ;   Phung Anh Nguyen2, 7 Author Orcid Image ;   Yi Ting Feng2 Author Orcid Image ;   Li Zhou8 Author Orcid Image ;   Yu Chuan Jack Li9, 10 Author Orcid Image ;   David Westfall Bates8, 11 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

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  2. Chen C, Chen Y, Scholl J, Yang H, Li Y. Ability of machine-learning based clinical decision support system to reduce alert fatigue, wrong-drug errors, and alert users about look alike, sound alike medication. Computer Methods and Programs in Biomedicine 2024;243:107869 View

Books/Policy Documents

  1. Hsu J, Lu C. Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy. View
  2. Hsu J, Lu C. Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy. View