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

BACKGROUND: Although 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. However, the internation...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875695/
https://www.ncbi.nlm.nih.gov/pubmed/33502331
http://dx.doi.org/10.2196/23454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875695/
https://www.ncbi.nlm.nih.gov/pubmed/33502331
http://dx.doi.org/10.2196/23454

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