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Kin Wah
Fung
,
MD
Staff Scientist
Location: 
38A
/
9S918
Phone Number: (
301
827-5001
Expertise and Research Interests: 

Dr. Fung received his medical degree from the University of Hong Kong, Master of Science degree (Computer-based Information Systems) from the University of Sunderland, UK; and Master of Arts degree (Biomedical Informatics) from Columbia University, New York. Combining the clinical knowledge of his long surgical career, the experience in building real-life medical information systems and the skills acquired from formal informatics education, Dr. Fung’s research focuses on the use of biomedical terminologies in electronic health records. He aims to provide practical solutions to overcome obstacles in the adoption of terminology standards. The subjects of his research include inter-terminology mapping, problem list terminologies and drug terminologies.

Professional Activities: 

He serves as the chair of the Mapping Special Interest Group of the International Health Terminology Standards Development Organization (IHTSDO) since 2009. He is a member of the American Medical Informatics Association (AMIA). He is a member of the NLM’s UMLS Steering Committee.

Honors and Awards: 

Since joining NLM in 2003, Dr. Fung has received 2 individual and 5 group NLM Special Act or Service Awards. He received an individual NIH Merit Award in 2009 for sustained excellence in multiple initiatives involving applied medical terminology research.

Publications/Tools by Kin Wah Fung: 
Goodwin T, Demner-Fushman D, Fung K, Do P. Overview of the TAC 2019 Track on Drug-Drug Interaction Extraction from Drug Label. Proceedings of the Text Analysis Conference (TAC) 20 19, Gathersburg, MD, USA, November 12-13, 2019.
Mao Y, Fung K, Demner-Fushman D. Drug-drug Interaction Extraction via Transfer Learning. AMIA Fall Symposium, 2019.
Zolnoori M, Fung K, Patrick DB, Fontelo P, Kharrazi H, Faiola A, Shah ND, Shirley WYS, Eldredge CE, Luo J, Conway M, Zhu J, Park SK, Xu K, Moayyed H. The PsyTAR dataset: From patients generated narratives to a corpus of adverse drug events and effectiveness of psychiatric medications. Data Brief. 2019 Mar 15;24:103838. doi: 10.1016/j.dib.2019.103838. eCollection 2019 Jun.
Zolnoori M, Fung K, Patrick TB, Fontelo P, Kharrazi H, Faiola A, Wu YSS, Eldredge CE, Luo J, Conway M, Zhu J, Park SK, Xu K, Moayyed H, Goudarzvand S. A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications. NCBINCBI Logo Skip to main content Skip to navigation Resources How To About NCBI Accesskeys PubMed US National Library of Medicine National Institutes of Health Search databaseSearch term 30611893[uid] Clear inputSearch Create RSSCreate alertAdvancedHelp Result Filters Format: AbstractSend to J Biomed Inform. 2019 Feb;90:103091. doi: 10.1016/j.jbi.2018.12.005. Epub 2019 Jan 4.
Demner-Fushman D, Fung K, Do P, Boyce R, Goodwin T. Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track. Proceedings of the Text Analysis Conference (TAC) 2018, Gaithersburg, MD, USA, November 13-14, 2018.
Zolnoori M, Fung K, Fontelo P, Kharrazi H, Faiola A, Wu YSS, Stoffel V, Patrick T. Identifying the Underlying Factors Associated With Patients' Attitudes Toward Antidepressants: Qualitative and Quantitative Analysis of Patient Drug Reviews. JMIR Ment Health. 2018 Sep 30;5(4):e10726. doi: 10.2196/10726.
Goss FR, Lai KH, Topaz M, Acker WW, Kowalski L, Plasek JM, Blumenthal KG, Seger DL, Slight SP, Fung KW, Chang FY, Bates DW, Zhou L. A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc. 2018 Jun 1;25(6):661-669. doi: 10.1093/jamia/ocx139.
Fung K, Xue Z, Ameye F, Gutierrez AR, D'Have A. Achieving Logical Equivalence between SNOMED CT and ICD-10-PCS Surgical Procedures. AMIA Annu Symp Proc. 2018 Apr 16;2017:724-733. eCollection 2017.
Fung K, Gutierrez A, Ameye F, D’Have A, Ariel B. Demonstrating the Benefits of Mapping SNOMED CT to ICD-10-PCS through a Prototype Application for End User Implementation. SNOMED Expo Oct 2017, Bratislava, Slovakia pp. 0
Bhupatiraju R, Huser V, Fung K. Phenotype modelling tools utilizing standardized EHR data in a Common Data Model format [Poster]. NIH Research Festival 2017.

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