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

Information Retrieval (271)

Published on in Vol 17, No 2 (2015): February

SimQ: Real-Time Retrieval of Similar Consumer Health Questions

SimQ: Real-Time Retrieval of Similar Consumer Health Questions

SimQ: Real-Time Retrieval of Similar Consumer Health Questions

Authors of this article:

Jake Luo1 Author Orcid Image ;   Guo-Qiang Zhang2 Author Orcid Image ;   Susan Wentz3 Author Orcid Image ;   Licong Cui2 Author Orcid Image ;   Rong Xu2 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

Journals

  1. Wongchaisuwat P, Klabjan D, Jonnalagadda S. A Semi-Supervised Learning Approach to Enhance Health Care Community–Based Question Answering: A Case Study in Alcoholism. JMIR Medical Informatics 2016;4(3):e24 View
  2. 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
  3. Ben Abacha A, Demner-Fushman D. A question-entailment approach to question answering. BMC Bioinformatics 2019;20(1) View
  4. Jin Q, Yuan Z, Xiong G, Yu Q, Ying H, Tan C, Chen M, Huang S, Liu X, Yu S. Biomedical Question Answering: A Survey of Approaches and Challenges. ACM Computing Surveys 2023;55(2):1 View
  5. Saraswat N, Li C, Jiang M. Identifying the Question Similarity of Regulatory Documents in the Pharmaceutical Industry by Using the Recognizing Question Entailment System: Evaluation Study. JMIR AI 2023;2:e43483 View

Books/Policy Documents

  1. Demner Fushman D. Natural Language Processing in Biomedicine. View