Detection of overdose and underdose prescriptions—An unsupervised machine learning approach

Overdose prescription errors sometimes cause serious life-threatening adverse drug events, while underdose errors lead to diminished therapeutic effects. Therefore, it is important to detect and prevent these errors. In the present study, we used the one-class support vector machine (OCSVM), one of...

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Detalles Bibliográficos
Autores principales: Nagata, Kenichiro, Tsuji, Toshikazu, Suetsugu, Kimitaka, Muraoka, Kayoko, Watanabe, Hiroyuki, Kanaya, Akiko, Egashira, Nobuaki, Ieiri, Ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604308/
https://www.ncbi.nlm.nih.gov/pubmed/34797894
http://dx.doi.org/10.1371/journal.pone.0260315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604308/
https://www.ncbi.nlm.nih.gov/pubmed/34797894
http://dx.doi.org/10.1371/journal.pone.0260315

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