Projects per year
Organization profile
Organization profile
The Structural Analysis of Biomedical Ontologies Center (SABOC) is an interdisciplinary research center linking computer science and medicine. It deals with medical terminologies and ontologies, a subject of study that is a sub-field of Medical Informatics. Many biomedical terminologies are measured in the tens of thousands to hundreds of thousands of terms, including drug names and their chemical ingredients, symptoms, diagnoses, body parts, medical procedures, medical devices, infectious agents and accidents, among others. Understanding these terms and finding inconsistencies with textual representations is difficult, and we therefore use graphical representations: biomedical terminologies appear as networks in which the terms are symbolized as boxes and the relationships between pairs of terms are symbolized as arrows. Without a sophisticated approach, visualizing these networks on a computer screen can lead to failure. The core research efforts of SABOC are to develop small abstraction networks that summarize large biomedical terminologies; to visualize abstraction networks on a computer screen in a manner that is easier to comprehend than the original terminologies; and to perform quality assurance on the original terminologies by using the abstraction networks to find and remove inconsistencies. As biomedical terminologies are increasingly used in applications such as electronic health records, ensuring that terminologies are free of inconsistencies helps ensure the correctness of these applications. SABOC is currently funded by a three-year, $1.75 million grant from the National Institutes of Health.
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Collaborations and top research areas from the last five years
Profiles
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James Geller
- Structural Analysis of Biomedical Ontologies Center - Professor
- Data Science - Professor
Person
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Yehoshua Perl
- Computer Science - Professor
- Structural Analysis of Biomedical Ontologies Center - Director
Person
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Applying Student Knowledge for Success in Cybersecurity and Data Science
10/15/21 → 9/30/26
Project: Research project
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Taxonomies Supporting Orientation, Navigation and Auditing of Terminologies
U.S. National Library of Medicine
9/1/07 → 8/31/11
Project: Research project
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RUI: Efficient Reasoning with Massive Parallelism and Hybrid Techniques
5/15/92 → 10/31/93
Project: Research project
Research output
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Big knowledge visualization of the COVID-19 CIDO ontology evolution
Zheng, L., Perl, Y. & He, Y., Dec 2023, In: BMC Medical Informatics and Decision Making. 23, 88.Research output: Contribution to journal › Article › peer-review
Open Access -
Guidelines for the reuse of ontology content
Halper, M., Soldatova, L. N., Brochhausen, M., Sabiu Maikore, F., Ochs, C. & Perl, Y., 2023, In: Applied Ontology. 18, 1, p. 5-29 25 p.Research output: Contribution to journal › Article › peer-review
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Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients
Keloth, V. K., Zhou, S., Lindemann, L., Zheng, L., Elhanan, G., Einstein, A. J., Geller, J. & Perl, Y., Dec 2023, In: BMC Medical Informatics and Decision Making. 23, 40.Research output: Contribution to journal › Article › peer-review
Open Access