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Journal of Endourology
|
April 4, 2022
Machine Learning-Assisted Preoperative Diagnosis of Infection Stones in Urolithiasis Patients
TingTing Chen, YiFan Zhang, QuanLiang Dou, et al.
Clinical Interventions in Aging
|
May 23, 2022
A Dynamic Nomogram to Identify Patients at High Risk of Poor Outcome in Stroke Patients with Chronic Kidney Disease
Fusang Wang, Xiaohan Zheng, Juan Zhang, et al.
International Journal of Cardiology
|
November 14, 2021
Using machine learning to predict atrial fibrillation diagnosed after ischemic stroke
Xiaohan Zheng, Fusang Wang, Juan Zhang, et al.
International Journal of Clinical Pharmacy
|
April 17, 2026
Development of a real-world, therapeutic drug monitoring-informed model to predict teicoplanin daily dose in pediatric intensive care unit patients with bacterial infections
Fusang Wang, Mei Zhang, Suiwen Ye, et al.
Brain Sciences
|
August 26, 2023
Pre- and Post-Operative Online Prediction of Outcome in Patients Undergoing Endovascular Coiling after Aneurysmal Subarachnoid Hemorrhage: Visual and Dynamic Nomograms
Zhou Zhou, Fusang Wang, Tingting Chen, et al.
Frontiers in Neurology
|
December 17, 2020
Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning
Xiang Li, XiDing Pan, ChunLian Jiang, et al.
Frontiers in Neurology
|
July 23, 2020
A SCANO Nomogram for Individualized Prediction of the Probability of 1-Year Unfavorable Outcomes in Chinese Acute Ischemic Stroke Patients
Xiang Li, Fusang Wang, Zhihong Zhao, et al.
Frontiers in Neurology
|
September 14, 2020
Corrigendum: A SCANO Nomogram for Individualized Prediction of the Probability of 1-Year Unfavorable Outcomes in Chinese Acute Ischemic Stroke Patients
Xiang Li, Fusang Wang, Zhihong Zhao, et al.
Frontiers in Neurology
|
November 19, 2019
Safety and Efficacy of Tirofiban Combined With Mechanical Thrombectomy Depend on Ischemic Stroke Etiology
Chao Sun, Xiang Li, Zheng Zhao, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Journal of Endourology
|
April 4, 2022
Machine Learning-Assisted Preoperative Diagnosis of Infection Stones in Urolithiasis Patients
TingTing Chen, YiFan Zhang, QuanLiang Dou, et al.
Clinical Interventions in Aging
|
May 23, 2022
A Dynamic Nomogram to Identify Patients at High Risk of Poor Outcome in Stroke Patients with Chronic Kidney Disease
Fusang Wang, Xiaohan Zheng, Juan Zhang, et al.
International Journal of Cardiology
|
November 14, 2021
Using machine learning to predict atrial fibrillation diagnosed after ischemic stroke
Xiaohan Zheng, Fusang Wang, Juan Zhang, et al.
International Journal of Clinical Pharmacy
|
April 17, 2026
Development of a real-world, therapeutic drug monitoring-informed model to predict teicoplanin daily dose in pediatric intensive care unit patients with bacterial infections
Fusang Wang, Mei Zhang, Suiwen Ye, et al.
Brain Sciences
|
August 26, 2023
Pre- and Post-Operative Online Prediction of Outcome in Patients Undergoing Endovascular Coiling after Aneurysmal Subarachnoid Hemorrhage: Visual and Dynamic Nomograms
Zhou Zhou, Fusang Wang, Tingting Chen, et al.
Frontiers in Neurology
|
December 17, 2020
Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning
Xiang Li, XiDing Pan, ChunLian Jiang, et al.
Frontiers in Neurology
|
July 23, 2020
A SCANO Nomogram for Individualized Prediction of the Probability of 1-Year Unfavorable Outcomes in Chinese Acute Ischemic Stroke Patients
Xiang Li, Fusang Wang, Zhihong Zhao, et al.
Frontiers in Neurology
|
September 14, 2020
Corrigendum: A SCANO Nomogram for Individualized Prediction of the Probability of 1-Year Unfavorable Outcomes in Chinese Acute Ischemic Stroke Patients
Xiang Li, Fusang Wang, Zhihong Zhao, et al.
Frontiers in Neurology
|
November 19, 2019
Safety and Efficacy of Tirofiban Combined With Mechanical Thrombectomy Depend on Ischemic Stroke Etiology
Chao Sun, Xiang Li, Zheng Zhao, et al.
Page
of 1