title: Efficiently mining Adverse Event Reporting System for multiple drug interactions.
abstract: Efficiently mining multiple drug interactions and reactions from Adverse Event Reporting System (AERS) is a challenging problem which has not been sufficiently addressed by existing methods. To tackle this challenge, we propose a FCI-fliter approach which leverages the efforts of UMLS mapping, frequent closed itemset mining, and uninformative association identification and removal. By applying our method on AERS, we identified a large number of multiple drug interactions with reactions. By statistical analysis, we found most of the identified associations have very small p-values which suggest that they are statistically significant. Further analysis on the results shows that many multiple drug interactions and reactions are clinically interesting, and suggests that our method may be further improved with the combination of external knowledge.
authors.affiliation: Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210.
authors.forename: Yang
authors.initials: Y
authors.lastname: Xiang
authors.affiliation: Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210 ; Department of Computer Science and Engineering, The Ohio State University, Columbus, OH 43210.
authors.forename: Aaron
authors.initials: A
authors.lastname: Albin
authors.affiliation: Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210 ; Department of Computer Science and Engineering, The Ohio State University, Columbus, OH 43210.
authors.forename: Kaiyu
authors.initials: K
authors.lastname: Ren
authors.affiliation: Center for Computational Biology and Bioinformatics, Indiana University, Indianapolis, IN 46202.
authors.forename: Pengyue
authors.initials: P
authors.lastname: Zhang
authors.affiliation: Division of Medicinal Chemistry & Pharmacognosy, The Ohio State University, Columbus, OH 43210.
authors.forename: Jonathan P
authors.initials: JP
authors.lastname: Etter
authors.affiliation: Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, WI 54449.
authors.forename: Simon
authors.initials: S
authors.lastname: Lin
authors.affiliation: Center for Computational Biology and Bioinformatics, Indiana University, Indianapolis, IN 46202.
authors.forename: Lang
authors.initials: L
authors.lastname: Li