Open AccessDetermining molecular predictors of adverse drug reactions with causality analysis based on structure learning
Author(s) -
Mei Liu,
Ruichu Cai,
Yong Hu,
Michael E. Matheny,
Jingchun Sun,
Jun Hu,
Hua Xu
Publication year - 2013
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1136/amiajnl-2013-002051
Subject(s) - causality (physics) , drug , drug reaction , adverse drug reaction , computer science , adverse effect , artificial intelligence , medicine , machine learning , pharmacology , physics , quantum mechanics
Adverse drug reaction (ADR) can have dire consequences. However, our current understanding of the causes of drug-induced toxicity is still limited. Hence it is of paramount importance to determine molecular factors of adverse drug responses so that safer therapies can be designed.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom