Your browser doesn't support javascript.
loading
Machine learning reveals sex differences in clinical features of acute exacerbation of chronic obstructive pulmonary disease: A multicenter cross-sectional study.
Chen, Zhihong; Wang, Jiajia; Wang, Hanchao; Yao, Yu; Deng, Huojin; Peng, Junnan; Li, Xinglong; Wang, Zhongruo; Chen, Xingru; Xiong, Wei; Wang, Qin; Zhu, Tao.
Afiliação
  • Chen Z; Respiratory Medicine and Critical Care Medicine, Zhongshan Hospital of Fudan University, Shanghai, China.
  • Wang J; Rheumatology Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Wang H; Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, China.
  • Yao Y; Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, China.
  • Deng H; Respiratory Medicine and Critical Care Medicine, ZhuJiang Hospital of Southern Medical University, Guangzhou, China.
  • Peng J; Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Li X; Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Wang Z; Department of Mathematics, University of California, Davis, CA, United States.
  • Chen X; Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Xiong W; Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Wang Q; Respiratory Medicine and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Zhu T; Respiratory Medicine and Critical Care Medicine, and Preclinical Research Center, Suining Central Hospital, Suining, China.
Front Med (Lausanne) ; 10: 1105854, 2023.
Article em En | MEDLINE | ID: mdl-37056727

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article