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

Participatory Medicine & E-Patients (773) Natural Language Processing (692) Information Seeking, Information Needs (465) Machine Learning (1465)

Published on in Vol 19, No 6 (2017): June

Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet

Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet

Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet

Authors of this article:

Haihong Guo1 Author Orcid Image ;   Xu Na1 Author Orcid Image ;   Li Hou1 Author Orcid Image ;   Jiao Li1 Author Orcid Image
Article Authors Cited by (12) Tweetations (11) Metrics

Journals

  1. Luo A, Xin Z, Yuan Y, Wen T, Xie W, Zhong Z, Peng X, Ouyang W, Hu C, Liu F, Chen Y, He H. Multidimensional Feature Classification of the Health Information Needs of Patients With Hypertension in an Online Health Community Through Analysis of 1000 Patient Question Records: Observational Study. Journal of Medical Internet Research 2020;22(5):e17349 View
  2. Pian W, Khoo C, Chi J. Automatic Classification of Users’ Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data. Journal of Medical Internet Research 2017;19(12):e424 View
  3. Guo H, Na X, Li J. Qcorp: an annotated classification corpus of Chinese health questions. BMC Medical Informatics and Decision Making 2018;18(S1) View
  4. Wang J, Deng H, Liu B, Hu A, Liang J, Fan L, Zheng X, Wang T, Lei J. Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed. Journal of Medical Internet Research 2020;22(1):e16816 View
  5. Mallikarjuna B, Shrivastava G, Sharma M. Blockchain technology: A DNN token‐based approach in healthcare and COVID‐19 to generate extracted data. Expert Systems 2022;39(3) View
  6. Cheng Q, Lin Y. Multilevel Classification of Users’ Needs in Chinese Online Medical and Health Communities: Model Development and Evaluation Based on Graph Convolutional Network. JMIR Formative Research 2023;7:e42297 View
  7. Hu G, Fang X. FLCMC: Federated Learning Approach for Chinese Medicinal Text Classification. Entropy 2024;26(10):871 View

Books/Policy Documents

  1. Jalan R, Gupta M, Varma V. Advances in Information Retrieval. View
  2. Upadhyay J, Nandave M, Kumar A. Pharmacovigilance Essentials. View