Gondy Leroy

Summary

Affiliation: Claremont Graduate University
Country: USA

Publications

  1. ncbi A shallow parser based on closed-class words to capture relations in biomedical text
    Gondy Leroy
    Management Information Systems, The University of Arizona, McClelland Hall, Room 430, 1130 E Helen St, Tucson, AZ 85721, USA
    J Biomed Inform 36:145-58. 2003
  2. ncbi Effects of information and machine learning algorithms on word sense disambiguation with small datasets
    Gondy Leroy
    School of Information Science, Claremont Graduate University, 130 E Ninth Street, Claremont, CA 91711, USA
    Int J Med Inform 74:573-85. 2005
  3. ncbi An end user evaluation of query formulation and results review tools in three medical meta-search engines
    Gondy Leroy
    School of Information Systems and Technology, Claremont Graduate University, 130 E Ninth Street, Claremont, CA 91711, United States
    Int J Med Inform 76:780-9. 2007
  4. ncbi Perils of providing visual health information overviews for consumers with low health literacy or high stress
    Gondy Leroy
    Information Systems and Technology, Claremont Graduate University, Claremont, California 91711, USA
    J Am Med Inform Assoc 17:220-3. 2010
  5. ncbi The influence of text characteristics on perceived and actual difficulty of health information
    Gondy Leroy
    School of Information Systems and Technology, Claremont Graduate University, Claremont, CA 91711, USA
    Int J Med Inform 79:438-49. 2010
  6. ncbi Using symbolic knowledge in the UMLS to disambiguate words in small datasets with a naïve Bayes classifier
    Gondy Leroy
    School of Information Science, Claremont Graduate University, Claremont, CA, USA
    Medinfo 11:381-5. 2004
  7. ncbi Persuading consumers to form precise search engine queries
    Gondy Leroy
    Claremont Graduate University, Claremont, CA, USA
    AMIA Annu Symp Proc 2009:354-8. 2009
  8. ncbi Developing informatics tools and strategies for consumer-centered health communication
    Alla Keselman
    Division of Specialized Information Services, National Library of Medicine, National Institute of Health, Bethesda, MD, USA
    J Am Med Inform Assoc 15:473-83. 2008
  9. ncbi Consumer health concepts that do not map to the UMLS: where do they fit?
    Alla Keselman
    Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institute of Health, 8600 Rockville Pike, Bethesda, MD, USA
    J Am Med Inform Assoc 15:496-505. 2008

Detail Information

Publications9

  1. ncbi A shallow parser based on closed-class words to capture relations in biomedical text
    Gondy Leroy
    Management Information Systems, The University of Arizona, McClelland Hall, Room 430, 1130 E Helen St, Tucson, AZ 85721, USA
    J Biomed Inform 36:145-58. 2003
    ..There were 296 relations correctly extracted from the abstracts resulting in 90% precision of the relations and an average of 11 correct relations per abstract...
  2. ncbi Effects of information and machine learning algorithms on word sense disambiguation with small datasets
    Gondy Leroy
    School of Information Science, Claremont Graduate University, 130 E Ninth Street, Claremont, CA 91711, USA
    Int J Med Inform 74:573-85. 2005
    ....
  3. ncbi An end user evaluation of query formulation and results review tools in three medical meta-search engines
    Gondy Leroy
    School of Information Systems and Technology, Claremont Graduate University, 130 E Ninth Street, Claremont, CA 91711, United States
    Int J Med Inform 76:780-9. 2007
    ..To further complicate the search, users often ignore support tools when available. Our goal is to evaluate in a realistic setting when users use support tools and how they perceive these tools...
  4. ncbi Perils of providing visual health information overviews for consumers with low health literacy or high stress
    Gondy Leroy
    Information Systems and Technology, Claremont Graduate University, Claremont, California 91711, USA
    J Am Med Inform Assoc 17:220-3. 2010
    ..Our data suggests that vulnerable consumers relied solely on the HTO when it was available and were misled when it did not provide the answer...
  5. ncbi The influence of text characteristics on perceived and actual difficulty of health information
    Gondy Leroy
    School of Information Systems and Technology, Claremont Graduate University, Claremont, CA 91711, USA
    Int J Med Inform 79:438-49. 2010
    ..Our goal is to find text features that are indicative of perceived and actual difficulty so that barriers to reading can be lowered and understanding of information increased...
  6. ncbi Using symbolic knowledge in the UMLS to disambiguate words in small datasets with a naïve Bayes classifier
    Gondy Leroy
    School of Information Science, Claremont Graduate University, Claremont, CA, USA
    Medinfo 11:381-5. 2004
    ..In a follow-up evaluation, we noted a trend that the best disambiguation was found for words that were the least troublesome to the human evaluators...
  7. ncbi Persuading consumers to form precise search engine queries
    Gondy Leroy
    Claremont Graduate University, Claremont, CA, USA
    AMIA Annu Symp Proc 2009:354-8. 2009
    ..Moreover, they used more keywords and relationships between keywords with search diagrams. In comparison to drawing their own diagrams, modifying existing templates led to more searches being conducted and higher creativity in searching...
  8. ncbi Developing informatics tools and strategies for consumer-centered health communication
    Alla Keselman
    Division of Specialized Information Services, National Library of Medicine, National Institute of Health, Bethesda, MD, USA
    J Am Med Inform Assoc 15:473-83. 2008
    ..This article was written as a scholarly outreach and leadership project by members of the American Medical Informatics Association's Consumer Health Informatics Working Group...
  9. ncbi Consumer health concepts that do not map to the UMLS: where do they fit?
    Alla Keselman
    Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institute of Health, 8600 Rockville Pike, Bethesda, MD, USA
    J Am Med Inform Assoc 15:496-505. 2008
    ..How do the unmapped consumer health concepts relate to the existing UMLS concepts? What is the place of these new concepts in professional medical discourse?..