Work

Using semantic predications to uncover drug–drug interactions in clinical data

Year: 2014

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2014.01.004

Authors: Rui Zhang, Michael J. Cairelli, Marcelo Fiszman, Graciela Rosemblat, Halil Kilicoglu, Thomas C. Rindflesch, Serguei V. Pakhomov, Genevieve B. Melton

Institutions: University of Minnesota, National Institutes of Health, United States National Library of Medicine

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Energy, National Institutes of Health, Agency for Healthcare Research and Quality, Oak Ridge Institute for Science and Education, U.S. National Library of Medicine

Awards: G202981822, DISCOVERY AND VISUALIZATION OF NEW INFORMATION FROM CLINICAL REPORTS IN THE EHR

OpenAlex ID: W2131046557

FWCI: 2.07

Cites: 47

Cited by: 57

Related to: 10