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

Breast Cancer (142) Natural Language Processing (492) Emotional, Social, Psychological Support for Cancer (145) Patient Education for Cancer (109) Information Seeking, Information Needs (336) Infodemiology and Infoveillance (1008)

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

Authors of this article:

Masaru Kamba 1 Author Orcid Image ;   Masae Manabe 1 Author Orcid Image ;   Shoko Wakamiya 1 Author Orcid Image ;   Shuntaro Yada 1 Author Orcid Image ;   Eiji Aramaki 1 Author Orcid Image ;   Satomi Odani 2 Author Orcid Image ;   Isao Miyashiro 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (10) Metrics

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