no code implementations • 7 Jan 2022 • Sungrim Moon, Huan He, Hongfang Liu, Jungwei W. Fan
Specifically, the 1-to-N, M-to-1, and M-to-N drug-reason relations were included to form the multi-answer and multi-focus QA entries, which represent more complex and natural challenges in addition to the basic one-drug-one-reason cases.
no code implementations • 13 Nov 2019 • Andrew Wen, Mohamed Y. Elwazir, Sungrim Moon, Jungwei Fan
Objectives: To adapt and evaluate a deep learning language model for answering why-questions based on patient-specific clinical text.
no code implementations • 24 Oct 2019 • Sunyang Fu, David Chen, Huan He, Sijia Liu, Sungrim Moon, Kevin J Peterson, Feichen Shen, Li-Wei Wang, Yanshan Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu
Background Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinical information from text for a wide range of applications ranging from clinical decision support to care quality improvement.