SNOMED CT Research Webinar Wednesday July 21, 2021 at 10 PT / 1 ET

Our July SNOMED CT Research Webinar is just around the corner!

On Wednesday, 21 July (17 UTC), Dr. Vipina Keloth and Dr. James Gellar will be presenting: Extending import detection algorithms for concept import from two to three biomedical terminologies. While enrichment of terminologies can be achieved in different ways, filling gaps in the IS-A hierarchy backbone of a terminology appears especially promising. To avoid difficult manual inspection, we started a research program in 2014, investigating terminology densities, where the comparison of terminologies leads to the algorithmic discovery of potentially missing concepts in a target terminology. In this talk, we are extending the algorithmic detection of "candidate concepts for import" from one source terminology to two source terminologies used in tandem.

As always, I have included the pdf for Members to easily share the information with your colleagues and networks who might be interested in attending. It is free to attend, please register on the link below. And the slides and recording will be available following the event.

Free Registration: snomed.zoom.us/webinar/register/WN_xtqzCT_ZTs6v5zUCnMXCOw

About our presenters:

Dr. Vipina Kuttichi Keloth

Postdoctoral Research Fellow at the University of Texas Health Science Center

Dr. Vipina Keloth is a postdoctoral research fellow at the School of Biomedical Informatics at the University of Texas Health Science Center at Houston. She recently completed her PhD from the New Jersey Institute of Technology (NJIT) in Computer Science, co-advised by Dr. James Geller and Dr. Yehoshua Perl. Previously, she worked as an assistant lecturer in the Department of Mathematical and Computational Sciences at National Institute of Technology Karnataka, India. She holds two master’s degrees in Computer Applications and a bachelor’s degree in Physics. Her research interests lie broadly in the domain of biomedical ontologies/terminologies and clinical natural language processing.

Dr. James Geller

Professor at New Jersey Institute of Technology (NJIT)

Dr. James Geller is Professor and former Chair of the Computer Science Department at the New Jersey Institute of Technology (NJIT). He served as Associate Dean for Research of the Ying Wu College of Computing at NJIT from 2015 to 2020. He received his PhD from the State University of New York at Buffalo in 1988 in Computer Science, with a focus on AI/Knowledge Representation.

Dr. Geller co-founded SABOC (the Structural Analysis of Biomedical Ontologies Center) at the Department of Computer Science at NJIT. He has published over 200 journal and conference papers and 14 book chapters in Medical Informatics, Semantic Web Technology, Object-Oriented Database Modeling, and Knowledge Representation.

Dr. Geller is a founding participant of the BRAID Consortium of Harvey Mudd College and is actively involved in bringing women and minorities into the computing field.

In 2012 Dr. Geller was inducted as a Fellow of the American College of Medical Informatics (ACMI).

As a distinguished professor, Dr. Geller has received the NJIT Master Teacher Designation and other NJIT teaching awards. Dr. Geller also received an NJIT College Research Award and most recently, the NJIT Constance A. Murray Award for Advancing Diversity.