DBCSMOTE: a clustering-based oversampling technique for data-imbalanced warfarin dose prediction

DBCSMOTE: a clustering-based oversampling technique for data-imbalanced warfarin dose prediction

Abstract Background Vitamin K antagonist (warfarin) is the most classical and widely used oral anticoagulant with assuring anticoagulant effect, wide clinical indications and low price. Warfarin dosage requirements of different patients vary largely. For warfarin daily dosage prediction, the data im...

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Bibliographic Details
Main Authors: Yanyun Tao, Yuzhen Zhang, Bin Jiang
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Medical Genomics
Subjects:
Warfarin dose prediction
Data imbalance
Oversampling
Density clustering
Predictive models
Online Access:http://link.springer.com/article/10.1186/s12920-020-00781-2

Internet

http://link.springer.com/article/10.1186/s12920-020-00781-2

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