Predicting outcomes after hospitalisation for COPD exacerbation using machine learning.

Journal: ERJ open research
Published Date: May 12, 2025

Abstract

BACKGROUND: Early readmission and death are critical adverse outcomes following hospitalisation due to exacerbation of chronic obstructive pulmonary disease (ECOPD). This study aimed to develop and validate machine learning models to enhance the prediction of these outcomes after ECOPD hospitalisation.

Authors

  • Chih-Ying Wu
    Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Chien-Ning Hsu
    School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Charlotte Wang
    Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan.
  • Jung-Yien Chien
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Chi-Chuan Wang
    Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Fang-Ju Lin
    Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.

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