Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2013 1
2015 1
2020 0
Text availability
Article attribute
Article type
Publication date

Search Results

2 results
Results by year

Citations

1 article found by citation matching

Search results

Filters applied: . Clear all
Page 1
Using linked data for mining drug-drug interactions in electronic health records.
Pathak J, Kiefer RC, Chute CG. Pathak J, et al. Stud Health Technol Inform. 2013;192:682-6. Stud Health Technol Inform. 2013. PMID: 23920643 Free PMC article.
In this research, we study the use of Semantic Web and Linked Data technologies for identifying drug-drug interaction (DDI) information from publicly available resources, and determining if such interactions were observed us …
In this research, we study the use of Semantic Web and Linked Data technologies for identifying drug-d
Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study.
Jiang G, Liu H, Solbrig HR, Chute CG. Jiang G, et al. BioData Min. 2015 Mar 25;8:12. doi: 10.1186/s13040-015-0044-6. eCollection 2015. BioData Min. 2015. PMID: 25829948 Free PMC article.
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 Adverse Event Report System (AERS) dataset and performed a case study of three frequently prescribed …
The objective of the study is to develop and evaluate a Semantic Web-based approach for mining severe DDI-induced ADEs. …
Feedback