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

BackgroundA challenge in updating systematic reviews is the workload in screening the articles. Many screening models using natural language processing technology have been implemented to scrutinize articles based on titles and abstracts. While these approaches show promise,...

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Bibliografische Detailangaben

Hauptverfasser:	Tatsuki Hasegawa, Hayato Kizaki, Keisho Ikegami, Shungo Imai, Yuki Yanagisawa, Shuntaro Yada, Eiji Aramaki, Satoko Hori
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	JMIR Publications 2025-03-01
Schriftenreihe:	JMIR Medical Informatics
Online-Zugang:	https://medinform.jmir.org/2025/1/e65371
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