Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research

Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research

Abstract Objective Systematic literature reviews (SLRs) are critical for life-science research. However, the manual selection and retrieval of relevant publications can be a time-consuming process. This study aims to (1) develop two disease-specific annotated corpora, one for human papillomavirus (H...

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Bibliographic Details
Main Authors: Jingcheng Du, Ekin Soysal, Dong Wang, Long He, Bin Lin, Jingqi Wang, Frank J. Manion, Yeran Li, Elise Wu, Lixia Yao
Format: Article
Language:English
Published: BMC 2024-05-01
Series:BMC Medical Research Methodology
Subjects:
Machine learning
Deep learning
Text classification
Article screening
Systematic literature review
Online Access:https://doi.org/10.1186/s12874-024-02224-3

Internet

https://doi.org/10.1186/s12874-024-02224-3

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