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
Journals
- Li C, Weng Y, Zhang Y, Wang B. A Systematic Review of Application Progress on Machine Learning-Based Natural Language Processing in Breast Cancer over the Past 5 Years. Diagnostics 2023;13(3):537 View
- Hamamoto R, Koyama T, Kouno N, Yasuda T, Yui S, Sudo K, Hirata M, Sunami K, Kubo T, Takasawa K, Takahashi S, Machino H, Kobayashi K, Asada K, Komatsu M, Kaneko S, Yatabe Y, Yamamoto N. Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information. Experimental Hematology & Oncology 2022;11(1) View
- Nishioka S, Asano M, Yada S, Aramaki E, Yajima H, Yanagisawa Y, Sayama K, Kizaki H, Hori S. Adverse event signal extraction from cancer patients’ narratives focusing on impact on their daily-life activities. Scientific Reports 2023;13(1) View