Published on in Vol 7, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32005, first published .
Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services:  Natural Language Processing-Based Approach

Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based Approach

Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based Approach

Journals

  1. 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
  2. Jiao J, Chen Y, Li Z, Weng T. AWDS-net: automatic whole-field segmentation network for characterising diverse breast masses. Connection Science 2024;36(1) View
  3. Nie L, Xu J, Wang R, Tilga H. Health information needs and feedback of users in the online TCM community. PLOS ONE 2024;19(3):e0301536 View
  4. Zhang Z, Liew K, Kuijer R, She W, Yada S, Wakamiya S, Aramaki E. Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer. JMIR Cancer 2024;10:e51332 View