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

Breast Cancer (201) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Natural Language Processing (650) Infodemiology and Infoveillance (1278) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015)

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 Watanabe1 Author Orcid Image ;   Shuntaro Yada2 Author Orcid Image ;   Eiji Aramaki2 Author Orcid Image ;   Hiroshi Yajima3 Author Orcid Image ;   Hayato Kizaki1 Author Orcid Image ;   Satoko Hori1 Author Orcid Image
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