An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study
Authors
Baisheng Sun (ORCID: https://orcid.org/0000-0001-6094-4669)
Lixia Zhong
Minhua Lu (ORCID: https://orcid.org/0000-0002-7050-5579)
Zhencan Han (ORCID: https://orcid.org/0009-0005-3444-4333)
Mingxing Lei (ORCID: https://orcid.org/0000-0002-9769-6977)
Tao Liu (ORCID: https://orcid.org/0000-0003-3236-766X)
An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study
Baisheng Sun, Lixia Zhong, Minhua Lu, Zhencan Han et al.
Citations
3 citations
Journal
BMC Musculoskeletal Disorders
Topics
Sepsis Diagnosis and Treatment
Field-Weighted Citation Impact (FWCI)
1.16
article
An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study
Capital Medical University (CN), Peking University (CN), Chinese PLA General Hospital (CN), Soochow University (CN), Hainan General Hospital (CN), Peking University Third Hospital (CN), Beijing Friendship Hospital (CN), PLA Academy of Military Science (CN), Hainan 301 Hospital (CN), The Fifth People’s Hospital of Suzhou (CN)