Construction and validation of HBV-ACLF bacterial infection diagnosis model based on machine learning.

Journal: BMC infectious diseases
Published Date:

Abstract

OBJECTIVE: To develop and validate a novel diagnostic model for detecting bacterial infections in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) using advanced machine learning algorithms. The focus is on improving early clinical identification and interpretability.

Authors

  • Neng Wang
    Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Shuai Tao
    Dalian Key Laboratory of Smart Medical and Health, Dalian University, Dalian, Liaoning 116622, P. R. China.
  • Liang Chen
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.