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Qin-Yu Zhao

Showing results (1-10 of 12) with videos related to

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Frontiers in Genetics|September 9, 2021
A Novel Intercellular Communication-Associated Gene Signature for Prognostic Prediction and Clinical Value in Patients With Lung AdenocarcinomaQin-Yu Zhao, Le-Ping Liu, Lu Lu, et al.
Frontiers in Oncology|July 12, 2021
Identification of a Ferroptosis-Related LncRNA Signature as a Novel Prognosis Model for Lung AdenocarcinomaLu Lu, Le-Ping Liu, Qiang-Qiang Zhao, et al.
Annals of Translational Medicine|July 16, 2021
Propensity score matching with R: conventional methods and new featuresQin-Yu Zhao, Jing-Chao Luo, Ying Su, et al.
Evidence-Based Complementary and Alternative Medicine : Ecam|January 25, 2022
Efficacy and Safety of Transcutaneous Electrical Acupoint Stimulation (TEAS) for Postoperative Pain in Laparoscopy: A Systematic Review and Meta-Analysis of Randomized Controlled TrialsDan Meng, Yifei Mao, Quan-Mei Song, et al.
Frontiers in Medicine|March 11, 2021
Machine Learning for the Prediction of Red Blood Cell Transfusion in Patients During or After Liver Transplantation SurgeryLe-Ping Liu, Qin-Yu Zhao, Jiang Wu, et al.
Frontiers in Cell and Developmental Biology|November 22, 2021
Identification and Validation of the Pyroptosis-Related Molecular Subtypes of Lung Adenocarcinoma by Bioinformatics and Machine LearningLe-Ping Liu, Lu Lu, Qiang-Qiang Zhao, et al.
Frontiers in Neuroinformatics|June 1, 2022
Advancing Prediction of Risk of Intraoperative Massive Blood Transfusion in Liver Transplantation With Machine Learning Models. A Multicenter Retrospective StudySai Chen, Le-Ping Liu, Yong-Jun Wang, et al.
Frontiers in Medicine|February 8, 2021
A Machine-Learning Approach for Dynamic Prediction of Sepsis-Induced Coagulopathy in Critically Ill Patients With SepsisQin-Yu Zhao, Le-Ping Liu, Jing-Chao Luo, et al.
Shock (Augusta, Ga.)|September 26, 2022
INFRARED THERMOGRAPHY-BASED BODY-SURFACE THERMAL INHOMOGENEITY MONITORING TO ASSESS THE SEVERITY OF HYPOPERFUSION IN CRITICALLY ILL PATIENTSJing-Chao Luo, Jia-Dong Zhang, Qin-Yu Zhao, et al.
Frontiers in Medicine|June 3, 2021
Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care UnitsQin-Yu Zhao, Huan Wang, Jing-Chao Luo, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Genetics|September 9, 2021
A Novel Intercellular Communication-Associated Gene Signature for Prognostic Prediction and Clinical Value in Patients With Lung AdenocarcinomaQin-Yu Zhao, Le-Ping Liu, Lu Lu, et al.
Frontiers in Oncology|July 12, 2021
Identification of a Ferroptosis-Related LncRNA Signature as a Novel Prognosis Model for Lung AdenocarcinomaLu Lu, Le-Ping Liu, Qiang-Qiang Zhao, et al.
Annals of Translational Medicine|July 16, 2021
Propensity score matching with R: conventional methods and new featuresQin-Yu Zhao, Jing-Chao Luo, Ying Su, et al.
Evidence-Based Complementary and Alternative Medicine : Ecam|January 25, 2022
Efficacy and Safety of Transcutaneous Electrical Acupoint Stimulation (TEAS) for Postoperative Pain in Laparoscopy: A Systematic Review and Meta-Analysis of Randomized Controlled TrialsDan Meng, Yifei Mao, Quan-Mei Song, et al.
Frontiers in Medicine|March 11, 2021
Machine Learning for the Prediction of Red Blood Cell Transfusion in Patients During or After Liver Transplantation SurgeryLe-Ping Liu, Qin-Yu Zhao, Jiang Wu, et al.
Frontiers in Cell and Developmental Biology|November 22, 2021
Identification and Validation of the Pyroptosis-Related Molecular Subtypes of Lung Adenocarcinoma by Bioinformatics and Machine LearningLe-Ping Liu, Lu Lu, Qiang-Qiang Zhao, et al.
Frontiers in Neuroinformatics|June 1, 2022
Advancing Prediction of Risk of Intraoperative Massive Blood Transfusion in Liver Transplantation With Machine Learning Models. A Multicenter Retrospective StudySai Chen, Le-Ping Liu, Yong-Jun Wang, et al.
Frontiers in Medicine|February 8, 2021
A Machine-Learning Approach for Dynamic Prediction of Sepsis-Induced Coagulopathy in Critically Ill Patients With SepsisQin-Yu Zhao, Le-Ping Liu, Jing-Chao Luo, et al.
Shock (Augusta, Ga.)|September 26, 2022
INFRARED THERMOGRAPHY-BASED BODY-SURFACE THERMAL INHOMOGENEITY MONITORING TO ASSESS THE SEVERITY OF HYPOPERFUSION IN CRITICALLY ILL PATIENTSJing-Chao Luo, Jia-Dong Zhang, Qin-Yu Zhao, et al.
Frontiers in Medicine|June 3, 2021
Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care UnitsQin-Yu Zhao, Huan Wang, Jing-Chao Luo, et al.
Pageof 2