Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Scientific Reports|April 13, 2026
Explainable machine learning for predicting mechanical ventilation in Alzheimer's patients with pneumonia: a SHAP-guided XGBoost nomogram based on MIMIC-IVXuhui Liu, Xujie Wang, Rongfei Xie, et al.
Clinical Neurology and Neurosurgery|April 1, 2026
Association between nimodipine use and 28-day mortality in non-traumatic subarachnoid hemorrhage: Insights from propensity score matching and dose-response analysisXuhui Liu, Xujie Wang, Rongfei Xie, et al.
The Journal of International Medical Research|July 9, 2026
A web-based dynamic nomogram for individualized risk prediction of magnetic resonance imaging-defined cerebral small-vessel disease: Model development and internal validationXuhui Liu, Xujie Wang, Rongfei Xie, et al.
European Journal of Medical Research|October 15, 2025
Development and validation of a dynamic nomogram for predicting in-hospital mortality in acute massive cerebral infarction: a retrospective study in a Chinese populationXuhui Liu, Xujie Wang, Rongfei Xie, et al.
Frontiers in Nutrition|March 9, 2026
Association between Geriatric Nutritional Risk Index (GNRI) and all-cause mortality in centenarians, with a focus on nonlinear and threshold effects: a multi-method observational studyXuhui Liu, Yihan Tang, Xujie Wang, et al.
Frontiers in Cardiovascular Medicine|January 21, 2026
Explainable machine learning model of coronary artery disease combined with diabetes: development and validation studyXujie Wang, Shipeng Wang, Xuhui Liu, et al.
Clinical Nutrition ESPEN|December 28, 2025
Geriatric Nutritional Risk and Exceptional Longevity: Findings from a Large-Scale Population-Based StudyXuhui Liu, Xujie Wang, Rongfei Xie, et al.
Frontiers in Neurology|February 23, 2026
Explainable machine learning reveals multifactorial drivers of early intracranial hematoma progression in traumatic brain injury: development of a SHAP-guided SVM nomogramXujie Wang, Rongfei Xie, Minmin Li, et al.
Pageof 1