Published on in Vol 7, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12704, first published .
Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach

Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach

Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach

Journals

  1. Noble A, Shaham D. Why do Thoracic Radiologists Need to Know About Cultural Competence (and What Is it Anyway)?. Journal of Thoracic Imaging 2020;35(2):73 View
  2. Hasan A, Levene M, Weston D. Learning structured medical information from social media. Journal of Biomedical Informatics 2020;110:103568 View
  3. He D, Wang Z, Thaker K, Zou N. Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection. Data and Information Management 2020;4(3):177 View
  4. Wu D, Xin C, Bindhu S, Xu C, Sachdeva J, Brown J, Jung H. Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study. JMIR Formative Research 2020;4(8):e18123 View
  5. Ibrahim M, Gauch S, Salman O, Alqahtani M. An automated method to enrich consumer health vocabularies using GloVe word embeddings and an auxiliary lexical resource. PeerJ Computer Science 2021;7:e668 View
  6. Gillespie A, Reader T. Online patient feedback as a safety valve: An automated language analysis of unnoticed and unresolved safety incidents. Risk Analysis 2023;43(7):1463 View
  7. 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
  8. 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
  9. Kugic A, Pfeifer B, Schulz S, Kreuzthaler M. Embedding-based terminology expansion via secondary use of large clinical real-world datasets. Journal of Biomedical Informatics 2023;147:104497 View
  10. Tenorio J, de Moraes F, Pisa I. CHV.br: Exploratory study for the development of a consumer health vocabulary (CHV) supported by a network model for Brazilian Portuguese language. Journal of Information Science 2023 View