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

Breast Cancer (136) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1225) Natural Language Processing (470) Infodemiology and Infoveillance (966) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (784)

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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