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One or more keywords matched the following properties of Yu, Hong
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overview

Interests

Information retrieval, extraction, natural language processing, summarization, human-computer interaction, with a focus on biomedical applications.

Biography

Ph.D. Biomedical Informatics, Columbia University, New York; MA and MPh, Physiology and Cellular Biophysics, Columbia University, New York; MS, Physiology, Beijing University, China; BS, Biomedical Engineering, Huazhong University of Science and Technology, China

Research

Professor Yu's research interests are in the areas of information retrieval, extraction, natural language processing, summarization, human-computer interaction, with a focus on biomedical applications. She has led the development of many systems, including the biomedical question answering system AskHERMES (http://www.askhermes.org), the adverse drug event pharmacovigilance system (http://www.ADErepository.org), the innovative biomedical figure search system (http://figuresearch.askhermes.org), and the NoteAid systems that help patients comprehend electronic medical records (http://ClinicalNotesAid.org).

Awards & Activities

Professor Yu has served as co-Chair in the biomedical natural language processing sections of the Pacific Symposium of Biocomputing and IEEE International Conference on Bioinformatics & Biomedicine. She is a member of the editorial board of the Journal of Biomedical Informatics, and is the PI of several National Institutes of Health funded projects. She was a recipient of the National Library of Medicine (NLM) pre-doctoral training grant to Columbia University and is one of the six “star trainees” selected by NLM on its celebration of 175th anniversary. Her first paper in biomedical informatics was nominated as one of the best papers in the American Medical Informatics Association Fall Symposium of 1999. Her work is included as best paper in IMIA Yearbook of Medical Informatics 2011, described in “Translational Bioinformatics 2012 Year in Review” by Russ Altman, and featured in Science, Nature, BioInform, the Pulitzer-winning Milwaukee Journal Sentinel, and the Milwaukee Public Radio.

One or more keywords matched the following items that are connected to Yu, Hong
Item TypeName
Academic Article Extracting synonymous gene and protein terms from biological literature.
Academic Article GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data.
Academic Article Using MEDLINE as a knowledge source for disambiguating abbreviations and acronyms in full-text biomedical journal articles.
Academic Article Natural language processing and visualization in the molecular imaging domain.
Academic Article Towards answering biological questions with experimental evidence: automatically identifying text that summarize image content in full-text articles.
Academic Article Development, implementation, and a cognitive evaluation of a definitional question answering system for physicians.
Academic Article Hierarchical image classification in the bioscience literature.
Academic Article Automatically extracting information needs from complex clinical questions.
Academic Article An IR-aided machine learning framework for the BioCreative II.5 Challenge.
Academic Article Figure text extraction in biomedical literature.
Academic Article Toward automated consumer question answering: automatically separating consumer questions from professional questions in the healthcare domain.
Academic Article An investigation into the feasibility of spoken clinical question answering.
Academic Article Automatic extraction of gene and protein synonyms from MEDLINE and journal articles.
Academic Article Accessing bioscience images from abstract sentences.
Academic Article Beyond information retrieval--medical question answering.
Academic Article Automatically classifying sentences in full-text biomedical articles into Introduction, Methods, Results and Discussion.
Academic Article Lancet: a high precision medication event extraction system for clinical text.
Academic Article AskHERMES: An online question answering system for complex clinical questions.
Concept Information Storage and Retrieval
Search Criteria
  • Information Storage and Retrieval