Study on medical dispute prediction model and its clinical-application effectiveness based on machine learning.

Journal: BMC medical informatics and decision making
Published Date: Sep 30, 2024

Abstract

BACKGROUND: Medical dispute is a global public health issue, which has been garnering increasing attention. In this study, we used machine learning (ML) method to establish a dispute prediction model and explored the clinical-application efficiency of this model in effectively reducing the occurrence of medical disputes.

Authors

  • Jicheng Li
    Department of Nuclear Medicine, Lanzhou University Second Hospital, Lanzhou, 730030, China.
  • Tao Zhu
    Wuhan Zoncare Bio-Medical Electronics Co., Ltd, Wuhan, China.
  • Lin Wang
    Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
  • Luxi Yang
    Key Laboratory of Digestive System Tumors of Gansu Province, Lanzhou University Second Hospital, Lanzhou, 730000, China.
  • Yulong Zhu
    School of Earth Science and Technology, Zhengzhou University, Zhengzhou, 450000, China.
  • Rui Li
    Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Science, Beijing, China.
  • Yubo Li
    *Tianjin State Key Laboratory of Modern Chinese Medicine, School of Traditional Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China and.
  • Yongcong Chen
    School of Public Health, Lanzhou University, Lanzhou, 730030, China. cyc@lzu.edu.cn.
  • Lingqing Zhang
    Department of Medical Safety, Lanzhou University Second Hospital, Lanzhou, 730030, China. 13919103081@163.com.

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