Published on in Vol 8, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37840, first published .
Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs

Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs

Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs

Tomomi Watanabe   1 , BSc ;   Shuntaro Yada   2 , PhD ;   Eiji Aramaki   2 , PhD ;   Hiroshi Yajima   3 , MSc ;   Hayato Kizaki   1 , MSc ;   Satoko Hori   1 , PhD

1 Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan

2 Nara Institute of Science and Technology, Nara, Japan

3 Mediaid Corporation, Tokyo, Japan

Corresponding Author:

  • Satoko Hori, PhD
  • Division of Drug Informatics
  • Keio University Faculty of Pharmacy
  • 1-5-30 Shibakouen, Minato-ku
  • Tokyo, 105-8512
  • Japan
  • Phone: 81 3-5400-2650
  • Email: hori-st@pha.keio.ac.jp