A machine-learning model to identify concurrent vascular disease in symptomatic patients with chronic obstructive pulmonary disease

The Stacking machine-learning model showed superior performance in identifying concurrent vascular disease among symptomatic COPD patients, offering strong discriminative ability, calibration, and clinical utility. It may serve as an effective decision-support tool to optimize diagnostic evaluation in this high-risk subgroup.

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Publication Details

Journal
Annals of Medicine
Published
2025-11-21
DOI
https://doi.org/10.1080/07853890.2025.2588285
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A machine-learning model to identify concurrent vascular disease in symptomatic patients with chronic obstructive pulmonary disease

Yufeng Gu, Ping Chen, Shuhong Wang
Annals of Medicine
Chronic Obstructive Pulmonary Disease (COPD) Research
article

A machine-learning model to identify concurrent vascular disease in symptomatic patients with chronic obstructive pulmonary disease

Yufeng Gu, Ping Chen, Shuhong Wang
article en

Abstract

The Stacking machine-learning model showed superior performance in identifying concurrent vascular disease among symptomatic COPD patients, offering strong discriminative ability, calibration, and clinical utility. It may serve as an effective decision-support tool to optimize diagnostic evaluation in this high-risk subgroup.

Annals of MedicineVol. 57(1)
Suizhou Central Hospital (CN)
Openalex Percentile: Top 49%
Chronic Obstructive Pulmonary Disease (COPD) Research
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A machine-learning model to identify concurrent vascular disease in symptomatic patients with chronic obstructive pulmonary disease — Yufeng Gu, Ping Chen, et al. · Annals of Medicine (2025) | TGRS Research Map | TGRS