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Mengling Feng

Showing results (61-70 of 109) with videos related to

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Clinical Journal of the American Society of Nephrology : CJASN|January 21, 2016
Peripheral Edema, Central Venous Pressure, and Risk of AKI in Critical IllnessKenneth P Chen, Susan Cavender, Joon Lee, et al.
JMIR Medical Informatics|July 28, 2025
Pharmacoepidemiologic Research Based on Common Data Models: Systematic Review and Bibliometric AnalysisYongqi Zheng, Meng Zhang, Conghui Wang, et al.
Applied Clinical Informatics|August 11, 2021
Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM DatasetSelva Muthu Kumaran Sathappan, Young Seok Jeon, Trung Kien Dang, et al.
Critical Care Medicine|March 23, 2017
Quantifying the Mortality Impact of Do-Not-Resuscitate Orders in the ICULior Fuchs, Matthew Anstey, Mengling Feng, et al.
NPJ Digital Medicine|May 8, 2026
Examining developer perspectives on medical AI regulatory frameworksCameron M Choo, Shelly Malik, Mengling Feng, et al.
Medical Review (2021)|January 29, 2024
The application of artificial intelligence in the management of sepsisJie Yang, Sicheng Hao, Jiajie Huang, et al.
Critical Care (London, England)|September 2, 2014
The effect of age and clinical circumstances on the outcome of red blood cell transfusion in critically ill patientsAndre Dejam, Brian E Malley, Mengling Feng, et al.
Physiological Measurement|June 7, 2021
Identification of 27 abnormalities from multi-lead ECG signals: an ensembled SE_ResNet framework with Sign Loss functionZhaowei Zhu, Xiang Lan, Tingting Zhao, et al.
Journal of Critical Care|February 28, 2015
Increased incidence of diuretic use in critically ill obese patientsEmma J de Louw, Pepijn O Sun, Joon Lee, et al.
Academic Radiology|October 15, 2021
Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated LabelsJames Thomas Patrick Decourcy Hallinan, Mengling Feng, Dianwen Ng, et al.
Pageof 11

Showing results (61-70 of 109) with videos related to

Sort By:
Pageof 11
Clinical Journal of the American Society of Nephrology : CJASN|January 21, 2016
Peripheral Edema, Central Venous Pressure, and Risk of AKI in Critical IllnessKenneth P Chen, Susan Cavender, Joon Lee, et al.
JMIR Medical Informatics|July 28, 2025
Pharmacoepidemiologic Research Based on Common Data Models: Systematic Review and Bibliometric AnalysisYongqi Zheng, Meng Zhang, Conghui Wang, et al.
Applied Clinical Informatics|August 11, 2021
Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM DatasetSelva Muthu Kumaran Sathappan, Young Seok Jeon, Trung Kien Dang, et al.
Critical Care Medicine|March 23, 2017
Quantifying the Mortality Impact of Do-Not-Resuscitate Orders in the ICULior Fuchs, Matthew Anstey, Mengling Feng, et al.
NPJ Digital Medicine|May 8, 2026
Examining developer perspectives on medical AI regulatory frameworksCameron M Choo, Shelly Malik, Mengling Feng, et al.
Medical Review (2021)|January 29, 2024
The application of artificial intelligence in the management of sepsisJie Yang, Sicheng Hao, Jiajie Huang, et al.
Critical Care (London, England)|September 2, 2014
The effect of age and clinical circumstances on the outcome of red blood cell transfusion in critically ill patientsAndre Dejam, Brian E Malley, Mengling Feng, et al.
Physiological Measurement|June 7, 2021
Identification of 27 abnormalities from multi-lead ECG signals: an ensembled SE_ResNet framework with Sign Loss functionZhaowei Zhu, Xiang Lan, Tingting Zhao, et al.
Journal of Critical Care|February 28, 2015
Increased incidence of diuretic use in critically ill obese patientsEmma J de Louw, Pepijn O Sun, Joon Lee, et al.
Academic Radiology|October 15, 2021
Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated LabelsJames Thomas Patrick Decourcy Hallinan, Mengling Feng, Dianwen Ng, et al.
Pageof 11