The objective of the study is to develop and evaluate a Semantic Web-based approach for mining severe DDI-induced ADEs. Methods: We utilized a normalized FDA ...
Mar 25, 2015 · Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study ... Semantic Web-based approach for mining severe ...
The objective of the study is to develop and evaluate a Semantic Web-based approach for mining severe DDI-induced ADEs. We utilized a normalized FDA Adverse ...
Jun 9, 2015 · The objective of the study is to develop and evaluate a Semantic Web-based approach for mining severe DDI-induced ADEs. We utilized a normalized ...
Nov 26, 2014 · The objective of the study is to develop and evaluate a Semantic Web-based approach for mining severe DDI-induced ADEs. We utilized a normalized ...
Drug-drug interactions (DDIs) are a major contributing factor for unexpected adverse drug events (ADEs). However, few of knowledge resources cover the ...
Mining severe drug-drug interaction adverse events using semantic web technologies: A case study. Guoqian Jiang, Hongfang Liu, Harold R. Solbrig, Christopher ...
A source of semantically coded Adverse Drug Event (ADE) data can be useful for identifying common phenotypes related to ADEs. We proposed a comprehensive ...
Dec 23, 2016 · Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study. BioData Min. 2015;8:12. [PMC free article] ...
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A semantic web based approach for building a knowledge base of severe ADEs based on the FDA Adverse Event Reporting System (AERS) reporting data is ...