Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Sequential coupling of dry and wet COVID-19 screening to reduce the number of quarantined individuals
por: Po (Harvey) Chin, Yen, et al.
Publicado: (2022) -
Screening Procedure for Hemihypertrophy: Preliminary Results of International Multicenter Prospective Study
por: Vaiman, Michael, et al.
Publicado: (2019) -
A Probabilistic Model for Reducing Medication Errors
por: Nguyen, Phung Anh, et al.
Publicado: (2013) -
Internal transfers
Publicado: (1970) -
Internal and external information in error processing
por: Heldmann, Marcus, et al.
Publicado: (2008)