November SNOMED CT Research Webinar

On Behalf of Suzy Roy, please see the following announcement:

"Join us on Wednesday, November 17, 2021 at 16:00 UTC for a SNOMED CT Research Webinar featuring Dr. Rohit Kate, who will be presenting "Obtaining Clinical Terms Embeddings from SNOMED CT."

Clinical term embeddings are numerical vector representations of clinical terms which are essential for applying deep learning based methods for analyzing clinical text. Such embeddings are commonly obtained using corpus-based methods. But in this webinar, I will present a method to obtain clinical term embeddings solely from SNOMED CT. First, concept embeddings are obtained from SNOMED CT’s graph, then a deep neural network is used to derive clinical term embeddings from them. Our evaluations show that clinical term embeddings from SNOMED CT perform overall better than corpus-based embeddings on benchmark clinical term similarity datasets.

Dr. Rohit J. Kate is an Associate Professor of Computer Science at the University of Wisconsin-Milwaukee. His research focus is on applying natural language processing techniques to automate analysis of biomedical and clinical text. His recent focus has been on leveraging available biomedical knowledge resources to improve techniques for extracting computer-processable knowledge from clinical text. His research interest is also in applying machine learning techniques to do predictive analytics for medical applications.

Please register: snomed.zoom.us/webinar/register/WN_Gfdr65QzRL63ut6m1zAK7g

If you cannot attend the webinar will be recorded and available on our SNOMED International YouTube channel. "

Kelly