Non-experimental rapid identification of lower respiratory tract infections in patients with chronic obstructive pulmonary disease using multi-label learning.

Journal: Computer methods and programs in biomedicine
PMID: 39913996

Abstract

BACKGROUND AND OBJECTIVE: Microbiological culture is a standard diagnostic test that takes a long time to identify lower respiratory tract infections (LRTI) in patients with chronic obstructive pulmonary disease (COPD). This study entailed the development of an interactive decision-support system using multi-label machine learning. It is designed to assist clinical medical staff in the rapid and simultaneous diagnosis of various infections in these patients.

Authors

  • Hangzhi He
    Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, China.
  • Hui Zhao
    School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong, 723000, Shaanxi, China.
  • Lifang Li
    Department of Rehabilitation Medicine, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
  • Hong Yang
    Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China.
  • Jingjing Yan
    Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, China.
  • Yiwei Yuan
    Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, China.
  • Xiangwen Hu
    Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province 030001, China.
  • Yanbo Zhang
    Department of Psychiatry, University of Alberta, Edmonton, Canada.

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