Development and validation of the machine learning model for acute exacerbation of chronic obstructive pulmonary disease prediction based on inflammatory biomarkers

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Development and validation of the machine learning model for acute exacerbation of chronic obstructive pulmonary disease prediction based on inflammatory biomarkers

ObjectiveAcute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a major cause of hospitalization and mortality in COPD patients. Current prediction methods rely primarily on clinical symptoms and physician experience, lacking objective and precise tools. This study aimed to integrat...

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Autori principali:	Ye Zhu, Meng Wang, Xin-Nan Gu, Cen Wang, Su-Min Deng
Natura:	Articolo
Lingua:	inglese
Pubblicazione:	Frontiers Media S.A. 2025-08-01
Serie:	Frontiers in Medicine
Soggetti:	chronic obstructive pulmonary disease acute exacerbation machine learning inflammatory biomarkers monocyte-to-lymphocyte ratio
Accesso online:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1616712/full
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