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James Geller
Michael Halper
Yehoshua Perl
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James's Research Areas: Medical informatics, medical ontologies and terminologies, applied social network analysis, DEI (diversity, equity and inclusion) Michael's Research Areas: Controlled terminologies, ontologies, object-oriented databases, conceptual modeling, open data models Yehoshua's Research Areas: Medical informatics, semantic web, ontologies
Biomedical professions have collected large ontologies of medical terms covering diseases, diagnosis, drugs, anatomy, bacteria, genes, chemicals, medical procedures and more. We developed a theoretical framework to create concise summaries of large ontologies and software tools to visualize these summaries. Using this software, medical experts can easily browse large medical ontologies, making it easier to recognize errors in structure and content. Recently, we developed machine learning methods for updating and curating biomedical ontologies. We are also developing methods to interpret large collections of formal medical knowledge in ontologies, which will aid in the prediction of dangerous drug interactions.
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