Identifying Undiagnosed COPD Using Machine Learning-Based Classification

S Ekelund; J. Rosenskjold; Thomas Kronborg; Stine Hangaard

doi:10.1177/19433654261429455

March 24, 2026Respiratory Care

Identifying Undiagnosed COPD Using Machine Learning-Based Classification

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Key Points

The aim is to develop a machine learning model to identify undiagnosed COPD using primary care data.
Developed a machine learning-based classification model
Utilized information solely from primary care
Evaluated model precision and potential for implementation
Successfully identified candidates with undiagnosed COPD
Model requires further precision improvements
Need for external validation to ensure generalizability

Implication

Identifies undiagnosed COPD using a machine learning model in primary care, suggesting future clinical applications.

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.

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Cite This Study

Ekelund et al. (2026) studied this question.

synapsesocial.com/papers/69c4ccaffdc3bde4489181e2 https://doi.org/10.1177/19433654261429455

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Identifying Undiagnosed COPD Using Machine Learning-Based Classification

Key Points

Implication

Abstract

Discussion

Cite This Study

Identifying Undiagnosed COPD Using Machine Learning-Based Classification

Key Points

Implication

Abstract

Discussion

Cite This Study

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