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International Journal of Chronic Obstructive Pulmonary Disease Volume 15, 2020 - Issue
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Original Research

A Nomogram for Predicting Severe Exacerbations in Stable COPD Patients

Xueying Chen1 Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China
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Qi Wang1 Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China
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Yinan Hu1 Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China
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Lei Zhang1 Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China
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Weining Xiong1 Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China
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Yongjian Xu1 Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China
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Jun Yu2 Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of ChinaCorrespondence[email protected]
&
Yi Wang1 Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of ChinaCorrespondence[email protected]
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Pages 379-388 | Published online: 18 Feb 2020

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Rachel Pullen, Marc Miravitlles, Anita Sharma, Dave Singh, Fernando Martinez, John R Hurst, Luis Alves, Mark Dransfield, Rongchang Chen, Shigeo Muro, Tonya Winders, Christopher Blango, Hana Muellerova, Frank Trudo, Paul Dorinsky, Marianna Alacqua, Tamsin Morris, Victoria Carter, Amy Couper, Rupert Jones, Konstantinos Kostikas, Ruth Murray & David B Price. (2021) CONQUEST Quality Standards: For the Collaboration on Quality Improvement Initiative for Achieving Excellence in Standards of COPD Care. International Journal of Chronic Obstructive Pulmonary Disease 16, pages 2301-2322.
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Yu-Feng Gu, Long Chen, Rong Qiu, Shu-Hong Wang & Ping Chen. (2022) Development of a model for predicting the severity of chronic obstructive pulmonary disease. Frontiers in Medicine 9.
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Siyang Zeng, Mehrdad Arjomandi & Gang Luo. (2022) Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study. JMIR Medical Informatics 10:2, pages e33043.
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