Identifying Undiagnosed COPD Using Machine Learning-Based Classification

An ML-based classification model, exclusively using information available in primary care, could identify individuals with undiagnosed COPD. However, further development to increase model precision and external validation of the model is required to ensure generalizability before implementation in clinical settings.

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Publication Details

Journal
Respiratory Care
Published
2026-03-24
DOI
https://doi.org/10.1177/19433654261429455
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying Undiagnosed COPD Using Machine Learning-Based Classification

Respiratory Care
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Identifying Undiagnosed COPD Using Machine Learning-Based Classification

article en

Abstract

An ML-based classification model, exclusively using information available in primary care, could identify individuals with undiagnosed COPD. However, further development to increase model precision and external validation of the model is required to ensure generalizability before implementation in clinical settings.

Respiratory Care
Aalborg University (DK)
Openalex Percentile: Top 11%
Chronic Obstructive Pulmonary Disease (COPD) Research
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Identifying Undiagnosed COPD Using Machine Learning-Based Classification · Respiratory Care (2026) | TGRS Research Map | TGRS