This paper is in the following e-collection/theme issue:

Information Retrieval (287)

Published on in Vol 6, No 3 (2004):

Reformulation of Consumer Health Queries with Professional Terminology: A Pilot Study

Reformulation of Consumer Health Queries with Professional Terminology: A Pilot Study

Reformulation of Consumer Health Queries with Professional Terminology: A Pilot Study

Authors of this article:

Robert M Plovnick ;   Qing T Zeng
Article Authors Cited by (33) Tweetations Metrics

Journals

  1. Bäumer F, Dollmann M, Geierhos M. Find a Physician by Matching Medical Needs Described in your Own Words. Procedia Computer Science 2015;63:417 View
  2. Mu X, Lu K, Ryu H. Explicitly integrating MeSH thesaurus help into health information retrieval systems: An empirical user study. Information Processing & Management 2014;50(1):24 View
  3. Marschollek M, Mix S, Wolf K, Effertz B, Haux R, Steinhagen-Thiessen E. ICT-based health information services for elderly people: Past experiences, current trends, and future strategies. Medical Informatics and the Internet in Medicine 2007;32(4):251 View
  4. Zeng Q, Tse T. Exploring and Developing Consumer Health Vocabularies. Journal of the American Medical Informatics Association 2006;13(1):24 View
  5. Lu K, Mu X. Query expansion using UMLS Tools for health information retrieval. Proceedings of the American Society for Information Science and Technology 2009;46(1):1 View
  6. Mosa A, Yoo I, Sheets L. A Systematic Review of Healthcare Applications for Smartphones. BMC Medical Informatics and Decision Making 2012;12(1) View
  7. Park M, He Z, Chen Z, Oh S, Bian J. Consumers’ Use of UMLS Concepts on Social Media: Diabetes-Related Textual Data Analysis in Blog and Social Q&A Sites. JMIR Medical Informatics 2016;4(4):e41 View
  8. Fontelo P, Liu F, Ackerman M. ask MEDLINE: a free-text, natural language query tool for MEDLINE/PubMed. BMC Medical Informatics and Decision Making 2005;5(1) View
  9. Jain H, Thao C, Zhao H. Enhancing electronic medical record retrieval through semantic query expansion. Information Systems and e-Business Management 2012;10(2):165 View
  10. Liu Z, Chu W. Knowledge-based query expansion to support scenario-specific retrieval of medical free text. Information Retrieval 2007;10(2):173 View
  11. He Z, Chen Z, Oh S, Hou J, Bian J. Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach. Journal of Biomedical Informatics 2017;69:75 View
  12. Shiri A, Chase‐Kruszewski S. Knowledge organisation systems in North American digital library collections. Program 2009;43(2):121 View
  13. Boden C. Overcoming the linguistic divide: a barrier to consumer health information. Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 2014;30(3):75 View
  14. Zeng Q, Crowell J, Plovnick R, Kim E, Ngo L, Dibble E. Assisting Consumer Health Information Retrieval with Query Recommendations. Journal of the American Medical Informatics Association 2006;13(1):80 View
  15. Demelo J, Parsons P, Sedig K. Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE. JMIR Medical Informatics 2017;5(1):e4 View
  16. Can A, Baykal N. MedicoPort: A medical search engine for all. Computer Methods and Programs in Biomedicine 2007;86(1):73 View
  17. Adamusiak T, Shimoyama N, Shimoyama M. Next Generation Phenotyping Using the Unified Medical Language System. JMIR Medical Informatics 2014;2(1):e5 View
  18. Jimmy , Zuccon G, Koopman B. Payoffs and pitfalls in using knowledge-bases for consumer health search. Information Retrieval Journal 2019;22(3-4):350 View
  19. Walsh J. The use of Library of Congress Subject Headings in digital collections. Library Review 2011;60(4):328 View
  20. Jing X. UMLS at 30 years: How it is used and published (Preprint). JMIR Medical Informatics 2020 View
  21. Tong C, Margolin D, Chunara R, Niederdeppe J, Taylor T, Dunbar N, King A. Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube. JMIR Medical Informatics 2022;10(8):e37862 View
  22. Lu Y, Barrett L, Lin R, Amith M, Tao C, He Z. Understanding Information Needs and Barriers to Accessing Health Information Across All Stages of Pregnancy: Systematic Review. JMIR Pediatrics and Parenting 2022;5(1):e32235 View

Books/Policy Documents

  1. Boguski M. Essentials of Genomic and Personalized Medicine. View
  2. Boguski M. Genomic and Personalized Medicine. View
  3. Lopes C, Ribeiro C. Current Issues in Libraries, Information Science and Related Fields. View
  4. Jimmy , Zuccon G, Koopman B. Advances in Information Retrieval. View
  5. He Z. Social Web and Health Research. View
  6. Wu H, Tian C. The Era of Interactive Media. View
  7. Chu W, Liu Z, Mao W, Zou Q. Biomedical Information Technology. View