Application progress of machine learning in chronic obstructive pulmonary disease
LI Meng
GAO Meng'ai
DONG Li
Abstract：This review discusses the concept of machine learning and its application in early screening and diagnosis, staging and classification prediction, readmission prediction, and acute exacerbation of chronic obstructive pulmonary disease (AECOPD) prediction. It further analyzes existing problems and challenges, providing references for the comprehensive application of machine learning technology in COPD management by medical staff.
Keywords：machine learningchronic obstructive pulmonary diseasereviewnursing
Publication Date：2025-04-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1551-1555 )