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

Natural Language Processing (935) New Methods (1152) Digital Health Reporting Standards, Quality and Transparency in e-Research (140) Development and Evaluation of Research Methods, Instruments and Tools (773) Methods and Instruments in Medical Informatics (206) Machine Learning (2163) Tools, Programs and Algorithms (394) Digital Health Meta-Research and Bibliographic Studies (66)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65371, first published .
Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation

Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation

Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation

Authors of this article:

Tatsuki Hasegawa1 Author Orcid Image ;   Hayato Kizaki1 Author Orcid Image ;   Keisho Ikegami1 Author Orcid Image ;   Shungo Imai1 Author Orcid Image ;   Yuki Yanagisawa1 Author Orcid Image ;   Shuntaro Yada2, 3 Author Orcid Image ;   Eiji Aramaki2 Author Orcid Image ;   Satoko Hori1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Conference Proceedings

  1. Buntoro G, Putra O, Purnomo M. 2025 10th International Conference on Information Technology and Digital Application (ICITDA). Fine-Tuning a Foundational Transformer Model for Multi-Label Biomedical Abstract Classification View