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

Journals

  1. Tarumi S, Takeuchi W, Qi R, Ning X, Ruppert L, Ban H, Robertson D, Schleyer T, Kawamoto K. Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources. Journal of Biomedical Informatics 2022;129:104001 View
  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
  3. Guerreiro J, Garriga R, Lozano Bagén T, Sharma B, Karnik N, Matić A. Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises. npj Digital Medicine 2024;7(1) 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