Kin Wah Fung

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. pmc Extracting drug indication information from structured product labels using natural language processing
    Kin Wah Fung
    Lister Hill National Center for Biomedical Communications, National Library of Medicine, US National Institutes of Health, Bethesda, MD 20894, USA
    J Am Med Inform Assoc 20:482-8. 2013
  2. pmc The UMLS-CORE project: a study of the problem list terminologies used in large healthcare institutions
    Kin Wah Fung
    National Library of Medicine, Bethesda, Maryland 20894, USA
    J Am Med Inform Assoc 17:675-80. 2010
  3. pmc Combining lexical and semantic methods of inter-terminology mapping using the UMLS
    Kin Wah Fung
    National Library of Medicine, Bethesda, Maryland 20894, USA
    Stud Health Technol Inform 129:605-9. 2007
  4. pmc Synergism between the mapping projects from SNOMED CT to ICD-10 and ICD-10-CM
    Kin Wah Fung
    National Library of Medicine, Bethesda, MD, USA
    AMIA Annu Symp Proc 2012:218-27. 2012
  5. pmc Handling age specification in the SNOMED CT to ICD-10-CM cross-map
    Junchuan Xu
    Lockheed Martin Corporation, Bethesda, MD, USA
    AMIA Annu Symp Proc 2012:1014-22. 2012
  6. pmc Integrating SNOMED CT into the UMLS: an exploration of different views of synonymy and quality of editing
    Kin Wah Fung
    National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894, USA
    J Am Med Inform Assoc 12:486-94. 2005
  7. pmc Testing Three Problem List Terminologies in a simulated data entry environment
    Kin Wah Fung
    National Library of Medicine, Bethesda, MD, USA
    AMIA Annu Symp Proc 2011:445-54. 2011

Detail Information

Publications7

  1. pmc Extracting drug indication information from structured product labels using natural language processing
    Kin Wah Fung
    Lister Hill National Center for Biomedical Communications, National Library of Medicine, US National Institutes of Health, Bethesda, MD 20894, USA
    J Am Med Inform Assoc 20:482-8. 2013
    ..To extract drug indications from structured drug labels and represent the information using codes from standard medical terminologies...
  2. pmc The UMLS-CORE project: a study of the problem list terminologies used in large healthcare institutions
    Kin Wah Fung
    National Library of Medicine, Bethesda, Maryland 20894, USA
    J Am Med Inform Assoc 17:675-80. 2010
    ..To study existing problem list terminologies (PLTs), and to identify a subset of concepts based on standard terminologies that occur frequently in problem list data...
  3. pmc Combining lexical and semantic methods of inter-terminology mapping using the UMLS
    Kin Wah Fung
    National Library of Medicine, Bethesda, Maryland 20894, USA
    Stud Health Technol Inform 129:605-9. 2007
    ..The combined method outperformed both methods, achieving coverage of 91%, recall of 43% and precision of 27%. It is also possible to customize the method of combination to optimize performance according to the task at hand...
  4. pmc Synergism between the mapping projects from SNOMED CT to ICD-10 and ICD-10-CM
    Kin Wah Fung
    National Library of Medicine, Bethesda, MD, USA
    AMIA Annu Symp Proc 2012:218-27. 2012
    ..The reasons for the discordance between the generated map and published map were also analyzed...
  5. pmc Handling age specification in the SNOMED CT to ICD-10-CM cross-map
    Junchuan Xu
    Lockheed Martin Corporation, Bethesda, MD, USA
    AMIA Annu Symp Proc 2012:1014-22. 2012
    ..The QA flagged 342 concepts for review (out of 7,277), of which 172 concepts (50.3%) were true positives. Without the special QA, many of the age rules would have been missed...
  6. pmc Integrating SNOMED CT into the UMLS: an exploration of different views of synonymy and quality of editing
    Kin Wah Fung
    National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894, USA
    J Am Med Inform Assoc 12:486-94. 2005
    ..The aim of this study was to investigate the quality of human judgment of synonymy...
  7. pmc Testing Three Problem List Terminologies in a simulated data entry environment
    Kin Wah Fung
    National Library of Medicine, Bethesda, MD, USA
    AMIA Annu Symp Proc 2011:445-54. 2011
    ..The CORE Subset required the shortest time to find a concept. This may be related to the smaller size of the pick lists for the CORE Subset...