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Fengrui Xu

Government of the People's Republic of China - Chinese PLA General Hospital

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Scholarly Papers (1)

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An Ensemble Machine Learning Approach Integrating Hemodynamic and Echocardiographic Features for Acute Mountain Sickness Risk Stratification: A Prospective Multicenter Analysis

Number of pages: 51 Posted: 20 Apr 2026
Government of the People's Republic of China - Fifth Medical Centre, Government of the People's Republic of China - Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, General Hospital of Western Theater Command, Government of the People's Republic of China - Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, Capital Medical University, First Medical Center of Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, Xining First People's Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, Government of the People's Republic of China - Chinese PLA General Hospital, General Hospital of Western Theater Command, Government of the People's Republic of China - Fifth Medical Centre, Government of the People's Republic of China - Chinese PLA General Hospital and Government of the People's Republic of China - Chinese PLA General Hospital
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Abstract:

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Acute mountain sickness, machine learning, predictive model, ensemble learning, high-altitude medicine, echocardiography, LASSO regression