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Machine Learning for Clinical Decision Support

08 Mar
Monday, 03/08/2021 2:00pm to 3:00pm
Virtual
Seminar
Speaker: Pengtao Xie

Abstract: With the rapid growth of electronic health records and the advancement of machine learning technologies, needs for AI-enabled clinical decision-making support is emerging. In this talk, I will present some recent work toward these needs, where an integrative system that distills insights from large-scale and heterogeneous patient data, as well as learns and integrates medical knowledge from broader sources such as the literatures and domain experts, and empowers medical professionals to make accurate and efficient decisions within the clinical flow, was built. In particular, I will discuss two aspects of practical clinical decision-support -- effective retrieval of similar patients for personalized treatment and automated ICD coding for speeding up the billing process.

Bio: Pengtao Xie is an assistant professor at UC San Diego. He received his PhD from the Machine Learning Department at Carnegie Mellon University in 2018. His research interests machine learning inspired by humans' learning skills (especially classroom learning skills), such as learning by progressive examination, interleaving learning, small-group learning, learning by teaching, etc., and their applications in healthcare. He serves as area chair for ICML, CVPR, ICCV, NAACL, etc. His PhD thesis is selected as top-5 finalist for the AMIA Doctoral Dissertation Award. He is the recipient of the Amazon AWS Faculty Award, Tencent AI-Lab Faculty Award, Tencent WeChat Faculty Award, the Innovator Award presented by the Pittsburgh Business Times, the Siebel Scholars award, etc.

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