Unsupervised learning technique identifies bronchiectasis phenotypes with distinct clinical characteristics-Reference-Cited by-同舟云学术

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Unsupervised learning technique identifies bronchiectasis phenotypes with distinct clinical characteristics

Published:2016-03-01 Issue:3 Volume:20 Page:402-410
ISSN:1027-3719
Container-title:The International Journal of Tuberculosis and Lung Disease
language:en
Short-container-title:int j tuberc lung dis

Author:

Guan W-J.,Jiang M.,Gao Y-H.,Li H-M.,Xu G.,Zheng J-P.,Chen R-C.,Zhong N-S.

Publisher

International Union Against Tuberculosis and Lung Disease

Subject

Infectious Diseases,Pulmonary and Respiratory Medicine

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Precision Medicine Era of Bronchiectasis;American Journal of Respiratory and Critical Care Medicine;2024-07-01

2. Biomarkers in bronchiectasis;European Respiratory Review;2024-07

3. Clinical Characteristics and Outcomes of the Phenotypes of COPD-Bronchiectasis Association;Archivos de Bronconeumología;2024-06

4. Bronchiectasis;La Presse Médicale;2023-09

5. The role of precision medicine in bronchiectasis: emerging data and clinical implications;Expert Review of Respiratory Medicine;2023-04-03

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