Machine Learning Prediction of Progression in Forced Expiratory Volume in 1 Second in the COPDGene® Study
体积热力学
内科学
心脏病学
医学
热力学
物理
作者
Adel Boueiz,Zhonghui Xu,Yale Chang,Aria Masoomi,Andrew Gregory,Sharon M. Lutz,Dandi Qiao,James D. Crapo,Jennifer Dy,Edwin K. Silverman,Peter J. Castaldi
Background: The heterogeneous nature of chronic obstructive pulmonary disease (COPD) complicates the identification of the predictors of disease progression. We aimed to improve the prediction of disease progression in COPD by using machine learning and incorporating a rich dataset of phenotypic fea