Machine learning models to predict the warfarin discharge dosage using clinical information of inpatients from South Korea

Machine learning models to predict the warfarin discharge dosage using clinical information of inpatients from South Korea

Abstract As warfarin has a narrow therapeutic window and obvious response variability among individuals, it is difficult to rapidly determine personalized warfarin dosage. Adverse drug events(ADE) resulting from warfarin overdose can be critical, so that typically physicians adjust the warfarin dosa...

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Bibliographic Details
Main Authors: Heejung Choi, Hee Jun Kang, Imjin Ahn, Hansle Gwon, Yunha Kim, Hyeram Seo, Ha Na Cho, JiYe Han, Minkyoung Kim, Gaeun Kee, Seohyun Park, Osung Kwon, Jae-Hyung Roh, Ah-Ram Kim, Ju Hyeon Kim, Tae Joon Jun, Young-Hak Kim
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-49831-6

Internet

https://doi.org/10.1038/s41598-023-49831-6

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