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

Breast Cancer (124) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1154) Natural Language Processing (433) Infodemiology and Infoveillance (896) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (720)

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

Authors of this article:

Tomomi Watanabe 1 Author Orcid Image ;   Shuntaro Yada 2 Author Orcid Image ;   Eiji Aramaki 2 Author Orcid Image ;   Hiroshi Yajima 3 Author Orcid Image ;   Hayato Kizaki 1 Author Orcid Image ;   Satoko Hori 1 Author Orcid Image
Article Authors Cited by Tweetations (12) Metrics
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 , JP

2 Nara Institute of Science and Technology , Nara , JP

3 Mediaid Corporation , Tokyo , JP

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