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Article

Predicting the frequent exacerbator phenotype in COPD: development and validation of a multicenter real-world prediction model.

BMC medical informatics and decision making - 15 Dec 2025

Peng Hongbing, Zhou Yiming, Lu Shuaiji, Nie Ying, Zhang Jianting, Yang Jijun

Abstract excerpt

BACKGROUND: The frequent exacerbator phenotype (FEP) of chronic obstructive pulmonary disease (COPD) significantly impacts quality of life, increases healthcare burden, and increases mortality rates. This study aims to develop an interpretable machine learning model for the early prediction of FEP to improve patient prognosis. METHODS: Retrospective data were collected from the electronic health records (EHRs) of...

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Identifiers

PMID: 41398953
DOI: 10.1186/s12911-025-03281-4
PMCID: PMC12706962

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