A deep learning approach to identify missingis-arelations in SNOMED CT is a research paper published in Journal of the American Medical Informatics Association (2022). On theSindex it has a DataRank of 0. It has been cited 10 times.
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National Science Foundation
Grant: 2047001
CAREER: Advancing the Role of Ontologies for Data Science in Biomedicine
National Library of Medicine
Grant: R01LM013335
National Institute of Neurological Disorders and Stroke
Grant: R01NS116287
National Center for Advancing Translational Sciences
Grant: UL1TR000371
National Center for Advancing Translational Sciences
Grant: U01TR002393
Cancer Prevention and Research Institute of Texas
Grant: RP170668
National Institutes of Health
Grant: 1U01TR002393-01
Harnessing the power of CTSA-CDRN data networks: Using social determinants of health, frailty and functional status to identify at-risk patients and improve risk adjustment
National Institutes of Health
Grant: 4UL1TR000371-10
Center for Clinical and Translational Sciences (CCTS)
National Institutes of Health
Grant: 5R01NS116287-04
An informatics framework for SUDEP Risk Marker Identification and Risk Assessment
National Institutes of Health
Grant: 1R01LM013335-01
Biomedical Terminology Quality Assurance for Enhancing Clinical Queries over Electronic Health Records
National Institutes of Health
U.S. Department of Energy
Reynolds and Reynolds Professorship in Clinical Informatics
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