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

Information Retrieval (271) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Consumer & Patient Education and Shared-Decision Making (636) Crowdsourcing and Mechanical Turks (90)

Published on in Vol 16, No 2 (2014): February

Evaluation of a Novel Conjunctive Exploratory Navigation Interface for Consumer Health Information: A Crowdsourced Comparative Study

Evaluation of a Novel Conjunctive Exploratory Navigation Interface for Consumer Health Information: A Crowdsourced Comparative Study

Evaluation of a Novel Conjunctive Exploratory Navigation Interface for Consumer Health Information: A Crowdsourced Comparative Study

Authors of this article:

Licong Cui1 ;   Rebecca Carter2 ;   Guo-Qiang Zhang1
Article Authors Cited by (14) Tweetations (7) Metrics

Journals

  1. Shaer O, Nov O, Okerlund J, Balestra M, Stowell E, Ascher L, Bi J, Schlenker C, Ball M. Informing the Design of Direct-to-Consumer Interactive Personal Genomics Reports. Journal of Medical Internet Research 2015;17(6):e146 View
  2. Lee K, Hoti K, Hughes J, Emmerton L. Dr Google Is Here to Stay but Health Care Professionals Are Still Valued: An Analysis of Health Care Consumers’ Internet Navigation Support Preferences. Journal of Medical Internet Research 2017;19(6):e210 View
  3. DePalma M, Rizzotti M, Branneman M. Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy. JMIR Diabetes 2017;2(2):e11 View
  4. Deardorff A, Masterton K, Roberts K, Kilicoglu H, Demner‐Fushman D. A protocol‐driven approach to automatically finding authoritative answers to consumer health questions in online resources. Journal of the Association for Information Science and Technology 2017;68(7):1724 View
  5. Luo J, Zhang G, Wentz S, Cui L, Xu R. SimQ: Real-Time Retrieval of Similar Consumer Health Questions. Journal of Medical Internet Research 2015;17(2):e43 View
  6. Kuang J, Argo L, Stoddard G, Bray B, Zeng-Treitler Q. Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches. Journal of Medical Internet Research 2015;17(12):e281 View
  7. Westendorf L, Shaer O, Pollalis C, Verish C, Nov O, Ball M. Exploring Genetic Data Across Individuals: Design and Evaluation of a Novel Comparative Report Tool. Journal of Medical Internet Research 2018;20(9):e10297 View
  8. Cui L, Xu R, Luo Z, Wentz S, Scarberry K, Zhang G. Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis. BMC Medical Informatics and Decision Making 2014;14(1) View
  9. Zide M, Caswell K, Peterson E, Aberle D, Bui A, Arnold C. Consumers’ Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing. JMIR Research Protocols 2016;5(2):e104 View
  10. 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
  11. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  12. Zhang G, Tao S, Zeng N, Cui L, Hitzler P, Janowicz K. Ontologies as nested facet systems for human–data interaction. Semantic Web 2020;11(1):79 View
  13. Ouyang W, Xie W, Xin Z, He H, Wen T, Peng X, Dai P, Yuan Y, Liu F, Chen Y, Luo A. Evolutionary Overview of Consumer Health Informatics: Bibliometric Study on the Web of Science from 1999 to 2019. Journal of Medical Internet Research 2021;23(9):e21974 View
  14. Liu Y, Qin C, Wang Y, Ma X. Exploratory search in information systems: a systematic review. The Electronic Library 2024;42(2):308 View