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

Consumer & Patient Education and Shared-Decision Making (679) Participatory Medicine & E-Patients (773)

Published on in Vol 3, No 3 (2001):

Evaluation of Controlled Vocabulary Resources for Development of a Consumer Entry Vocabulary for Diabetes

Evaluation of Controlled Vocabulary Resources for Development of a Consumer Entry Vocabulary for Diabetes

Evaluation of Controlled Vocabulary Resources for Development of a Consumer Entry Vocabulary for Diabetes

Authors of this article:

Timothy B Patrick ;   Harpreet K Monga ;   MaryEllen C Sievert ;   Joan Houston Hall ;   Daniel R Longo
Article Authors Cited by (31) Tweetations Metrics

Journals

  1. Brennan P, Aronson A. Towards linking patients and clinical information: detecting UMLS concepts in e-mail. Journal of Biomedical Informatics 2003;36(4-5):334 View
  2. Stewart C, Schofield P, Elliott A, Torrance N, Leveille S. What Do We Mean by “Older Adults' Persistent Pain Self-management”? A Concept Analysis. Pain Medicine 2014;15(2):214 View
  3. Naderi H, Kiani B, Madani S, Etminani K. Concept based auto-assignment of healthcare questions to domain experts in online Q&A communities. International Journal of Medical Informatics 2020;137:104108 View
  4. Zeng Q, Tse T, Divita G, Keselman A, Crowell J, Browne A, Goryachev S, Ngo L. Term Identification Methods for Consumer Health Vocabulary Development. Journal of Medical Internet Research 2007;9(1):e4 View
  5. Smith C. The Ten Thousand Questions Project. Journal of Consumer Health On the Internet 2007;11(1):33 View
  6. Zeng Q, Tse T. Exploring and Developing Consumer Health Vocabularies. Journal of the American Medical Informatics Association 2006;13(1):24 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. Chen J, Yu H. Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients. Journal of Biomedical Informatics 2017;68:121 View
  9. Gu G, Zhang X, Zhu X, Jian Z, Chen K, Wen D, Gao L, Zhang S, Wang F, Ma H, Lei J. Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach. JMIR Medical Informatics 2019;7(2):e12704 View
  10. Suárez-Obando F, Camacho Sánchez J. Estándares en informática médica: generalidades y aplicaciones. Revista Colombiana de Psiquiatría 2013;42(3):295 View
  11. Keselman A, Logan R, Smith C, Leroy G, Zeng-Treitler Q. Developing Informatics Tools and Strategies for Consumer-centered Health Communication. Journal of the American Medical Informatics Association 2008;15(4):473 View
  12. Tapi Nzali M, Aze J, Bringay S, Lavergne C, Mollevi C, Optiz T. Reconciliation of patient/doctor vocabulary in a structured resource. Health Informatics Journal 2019;25(4):1219 View
  13. 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
  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. Zheng J, Yu H. Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study. Journal of Medical Internet Research 2017;19(3):e59 View
  16. Tse T, Soergel D. Procedures for mapping vocabularies from non‐professional discourse a case study: “Consumer medical vocabulary”. Proceedings of the American Society for Information Science and Technology 2003;40(1):174 View
  17. Smith C, Hetzel S, Dalrymple P, Keselman A. Beyond Readability: Investigating Coherence of Clinical Text for Consumers. Journal of Medical Internet Research 2011;13(4):e104 View
  18. Chen J, Jagannatha A, Fodeh S, Yu H. Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach. JMIR Medical Informatics 2017;5(4):e42 View
  19. Chen J, Zheng J, Yu H. Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations. JMIR Medical Informatics 2016;4(4):e40 View
  20. Zielstorff R. Controlled vocabularies for consumer health. Journal of Biomedical Informatics 2003;36(4-5):326 View
  21. Bu Y, Li S, Huang Y. Research on the influencing factors of Chinese college students’ entrepreneurial intention from the perspective of resource endowment. The International Journal of Management Education 2023;21(3):100832 View
  22. Sakai Y. Health literacy research and the contribution of library and information science. Library and Information Science 2008;59:117 View

Books/Policy Documents

  1. Lopes C, Ribeiro C. Current Issues in Libraries, Information Science and Related Fields. View
  2. Smith C, Stavri P. Consumer Health Informatics. View
  3. Jiang L, Yang C. Social Computing, Behavioral-Cultural Modeling, and Prediction. View
  4. Kristine Ådland M, Lykke M. Social Information Research. View
  5. Jiang L, Yang C, Li J. Social Computing, Behavioral-Cultural Modeling and Prediction. View