Drug-drug interaction discovery and demystification using Semantic Web technologies


Noor A., Assiri A., Ayvaz S., Clark C., Dumontier M.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, vol.24, no.3, pp.556-564, 2017 (Peer-Reviewed Journal) identifier identifier identifier

  • 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, Social Sciences Citation Index, 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

Abstract

Objective: To develop a novel pharmacovigilance inferential framework to infer mechanistic explanations for asserted drug-drug interactions (DDIs) and deduce potential DDIs.