Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study
Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study
Eun-Tae Jeon
1
, PhD ;
Heemoon Park
2
, PhD ;
Jung-Kyu Lee
2
, PhD ;
Eun Young Heo
2
, PhD ;
Chang Hoon Lee
3
, PhD ;
Deog Kyeom Kim
2
, PhD ;
Dong Hyun Kim
4
* , PhD ;
Hyun Woo Lee
2
* , PhD
1
Department of Neurology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea
2
Department of Internal Medicine, Division of Respiratory and Critical Care, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
3
Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Seoul National University Hospital, Seoul, Republic of Korea
4
Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea
*these authors contributed equally
Corresponding Author:
-
Hyun Woo Lee, PhD
-
Department of Internal Medicine
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Division of Respiratory and Critical Care
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Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center
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20 Boramae-ro-5-gil, Dongjak-gu
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Seoul, 07061
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Republic of Korea
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Phone:
82 10-9755-6172
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Email: athrunzara86@gmail.com