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Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study
May 7, 2024, 4:42 a.m. | Shuhao Mei, Yuxi Zhou, Jiahao Xu, Yuxuan Wan, Shan Cao, Qinghao Zhao, Shijia Geng, Junqing Xie, Shenda Hong
cs.LG updates on arXiv.org arxiv.org
Abstract: Chronic Obstructive Pulmonary Disease (COPD) is a chronic inflammatory lung condition that causes airflow obstruction. The existing methods can only detect patients who already have COPD based on obvious features shown in the spirogram (In this article, the spirogram specifically involves measuring Volume-Flow curve time series). Early prediction of COPD risk is vital for monitoring COPD disease progression, slowing it down, or even preventing its onset. However, these methods fail to early predict an individual's …
abstract airflow arxiv cs.ai cs.lg deep learning disease features patients series study time series type
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