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

Journal: BMC medical informatics and decision making
Published Date: Nov 3, 2023

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 (AI)-based techniques have been widely used to analyze unstructured data, including texts and images. Currently, there are no effective/efficient AI-based systems for screening literature. Therefore, developing an effective method for automatic literature screening can provide significant advantages.

Authors

  • Yucong Lin
    Center for Statistical Science, Tsinghua University, Beijing, Beijing, China; Department of Industrial Engineering, Tsinghua University, Beijing, Beijing, China.
  • Jia Li
    Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan Tsuihang New District, Guangdong, 528400, PR China; School of Pharmacy, Zunyi Medical University, Zunyi, 563000, PR China; National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China.
  • Huan Xiao
    School of Statistics, Renmin University of China, Beijing, 100872, China.
  • Lujie Zheng
    School of Computer Science & Technology, Beijing Institute of Technology, Beijing, 100081, China.
  • Ying Xiao
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, USA.
  • Hong Song
    School of Software, Beijing Institute of Technology, Beijing, China.
  • Jingfan Fan
    Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Deqiang Xiao
  • Danni Ai
  • Tianyu Fu
  • Feifei Wang
    Peking University Institute of Mental Health , Beijing , China.
  • Han Lv
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Jian Yang
    Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada.

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