Re-Defining High Risk COPD with Parameter Response Mapping Based on Machine Learning Models.

Yu Pu Xiuxiu Zhou Di Zhang Yu Guan Yi Xia Wenting Tu Yang Lu Weidong Zhang Chi-Cheng Fu Qu Fang Geertruida H de Bock Shiyuan Liu Li Fan

Published in: International journal of chronic obstructive pulmonary disease (2022)

Machine learning-based PRM is feasible for redefining high-risk COPD, and setting the optimal FEV1% predicted value lays the foundation for redefining high-risk COPD diagnosis.

Keyphrases

machine learning
chronic obstructive pulmonary disease
lung function
artificial intelligence
big data
high resolution
deep learning
cystic fibrosis
mass spectrometry