Article

Machine Learning Prediction of Progression in FEV<sub>1</sub>in the COPDGene Study

2022-01-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> The heterogeneous nature of COPD complicates the identification of the predictors of disease progression and consequently the development of effective therapies. We aimed to improve the prediction of disease progression in COPD by using machine learning and incorporating a rich dataset of phenotypic features. <h4>Methods</h4> We included 4,496 smokers with available data from...

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Literature Corpus work: 5d5e7a9c-65ec-57fc-a997-4df60c65ffd2
DOI: 10.1101/2022.01.10.22268804

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