Drug-drug interaction discovery and demystification using Semantic Web technologies
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, vol.24, no.3, pp.556-564, 2017 (SCI-Expanded, SSCI, Scopus)
- Publication Type: Article / Article
- Volume: 24 Issue: 3
- Publication Date: 2017
- Doi Number: 10.1093/jamia/ocw128
- Journal Name: JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
- Page Numbers: pp.556-564
- Keywords: drug interactions, pharmacovigilance, pharmacologic actions, Semantic Web, ELECTRONIC HEALTH RECORDS, COLORECTAL-CANCER, P-GLYCOPROTEIN, CYTOCHROME-P450, TERMINOLOGY, METABOLISM, ASPIRIN, EVENTS, PHARMACOMETRICS, KNOWLEDGEBASE
- Yıldız Technical University Affiliated: No
Abstract
Objective: To develop a novel pharmacovigilance inferential framework to infer mechanistic explanations for asserted drug-drug interactions (DDIs) and deduce potential DDIs.