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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Auteurs principaux: | Kenichiro Nagata, Toshikazu Tsuji, Kimitaka Suetsugu, Kayoko Muraoka, Hiroyuki Watanabe, Akiko Kanaya, Nobuaki Egashira, Ichiro Ieiri |
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Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2021
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Accès en ligne: | https://doaj.org/article/034f183e0e32452bbf69d91f2d2d3d21 |
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