Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases

Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases

Abstract Background Early and accurate identification of potential adverse drug reactions (ADRs) for combined medication is vital for public health. Existing methods either rely on expensive wet-lab experiments or detecting existing associations from related records. Thus, they inevitably suffer und...

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Bibliographic Details
Main Authors: Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin, Jinyan Li
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Drug-drug-ADRs association prediction
Adverse drug reactions
Combined medication
Pharmacologic databases
Negative sample selection
Online Access:http://link.springer.com/article/10.1186/s12859-018-2520-8

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http://link.springer.com/article/10.1186/s12859-018-2520-8

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