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

BackgroundAlthough most current medication error prevention systems are rule-based, these systems may result in alert fatigue because of poor accuracy. Previously, we had developed a machine learning (ML) model based on Taiwan’s local databases (TLD) to address this issue. Ho...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: JMIR Publications 2021-01-01
Series:JMIR Medical Informatics
Online Access:http://medinform.jmir.org/2021/1/e23454/

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http://medinform.jmir.org/2021/1/e23454/

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