HOP Faculty Member’s Paper Awarded ‘Best Natural Language Processing Article of the Year’ by IMIA

Photo of Yonghui Wu, Ph.D.A paper by Yonghui Wu, Ph.D., was selected as “one of the best articles from the literature in the ‘natural language processing’ subfield of medical informatics” by the International Medical Informatics Association (IMIA). Wu, assistant professor of biomedical informatics in the department of health outcomes & policy (HOP), first published “A Long Journey to Short Abbreviations: Developing an Open-Source Framework for Clinical Abbreviation Recognition and Disambiguation (CARD)” in the April 2017 issue of the Journal of the American Informatics Association. Wu, whose research focuses on natural language processing, joined HOP in September, 2017. Wu’s paper will be highlighted in the 2017 IMIA Yearbook of Medical Informatics, a nonprofit project that aims to advance the field of medical informatics and to stimulate dissemination and exchange of information between researchers and professionals of the health and biomedical informatics community at large.