Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines

Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines

Abstract Background Clinical practice guidelines (CPGs) are designed to assist doctors in clinical decision making. High-quality research articles are important for the development of good CPGs. Commonly used manual screening processes are time-consuming and labor-intensive. Artificial intelligence...

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Bibliographic Details
Main Authors: Yucong Lin, Jia Li, Huan Xiao, Lujie Zheng, Ying Xiao, Hong Song, Jingfan Fan, Deqiang Xiao, Danni Ai, Tianyu Fu, Feifei Wang, Han Lv, Jian Yang
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Clinical practice guideline
Curation
Deep learning
Natural language processing
Online Access:https://doi.org/10.1186/s12911-023-02328-8

Internet

https://doi.org/10.1186/s12911-023-02328-8

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