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

Natural Language Processing (801) New Methods (1030) Digital Health Reporting Standards, Quality and Transparency in e-Research (96) Development and Evaluation of Research Methods, Instruments and Tools (632) Methods and Instruments in Medical Informatics (164) Machine Learning (1730) Tools, Programs and Algorithms (321) Digital Health Meta-Research and Bibliographic Studies (49)

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 Tweetations Metrics

Tatsuki Hasegawa   1 , MSc ;   Hayato Kizaki   1 , PhD ;   Keisho Ikegami   1 ;   Shungo Imai   1 , Ph.D ;   Yuki Yanagisawa   1 , Ph.D ;   Shuntaro Yada   2, 3 , Ph.D ;   Eiji Aramaki   2 , Ph.D ;   Satoko Hori   1 , Ph.D

1 Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan

2 Nara Institute of Science and Technology, Nara, Japan

3 Faculty of Library, Information and Media Science, University of Tsukuba, Tsukuba, Japan

Corresponding Author:

  • Satoko Hori, Ph.D
  • Division of Drug Informatics
  • Keio University Faculty of Pharmacy
  • 1-5-30 Shibakoen, Minato-ku
  • Tokyo, 105-8512
  • Japan
  • Phone: 81 3-5400-2650
  • Email: satokoh@keio.jp