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Mengling Feng

Showing results (81-90 of 109) with videos related to

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European Journal of Medical Research|January 6, 2024
Association of body temperature and mortality in critically ill patients: an observational study using two large databasesDaniel J Tan, Jiayang Chen, Yirui Zhou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
iSyNCC: an intelligent system for patient monitoring & clinical decision support in Neuro-Critical-CareMengling Feng, Zhuo Zhang, Feng Zhang, et al.
Scientific Data|May 25, 2016
MIMIC-III, a freely accessible critical care databaseAlistair E W Johnson, Tom J Pollard, Lu Shen, et al.
NPJ Digital Medicine|June 21, 2026
HRRT: hierarchical reinforcement learning for renal replacement therapy decision supportQianyi Xu, Feng Wu, Zi Yi Christopher Thong, et al.
Interdisciplinary Sciences, Computational Life Sciences|January 19, 2023
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised ApproachJin Yin, Jia-Jun Qiu, Jing-Yan Liu, et al.
Acta Neurochirurgica. Supplement|February 14, 2012
Go green! Reusing brain monitoring data containing missing values: a feasibility study with traumatic brain injury patientsMengling Feng, Liang Yu Loy, Feng Zhang, et al.
Iscience|August 23, 2023
Artificial intelligence and machine learning in prehospital emergency care: A scoping reviewMarcel Lucas Chee, Mark Leonard Chee, Haotian Huang, et al.
NPJ Digital Medicine|August 13, 2025
GRACE-ICU: A multimodal nomogram-based approach for illness severity assessment of older adults in the ICUXiaoli Liu, Wesley Yeung, Ziyue Chen, et al.
BMJ Open|January 9, 2020
Characterising and predicting persistent high-cost utilisers in healthcare: a retrospective cohort study in SingaporeSheryl Hui Xian Ng, Nabilah Rahman, Ian Yi Han Ang, et al.
JMIR Diabetes|July 5, 2022
Machine Learning-Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Development StudyMukkesh Kumar, Li Ting Ang, Cindy Ho, et al.
Pageof 11

Showing results (81-90 of 109) with videos related to

Sort By:
Pageof 11
European Journal of Medical Research|January 6, 2024
Association of body temperature and mortality in critically ill patients: an observational study using two large databasesDaniel J Tan, Jiayang Chen, Yirui Zhou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
iSyNCC: an intelligent system for patient monitoring & clinical decision support in Neuro-Critical-CareMengling Feng, Zhuo Zhang, Feng Zhang, et al.
Scientific Data|May 25, 2016
MIMIC-III, a freely accessible critical care databaseAlistair E W Johnson, Tom J Pollard, Lu Shen, et al.
NPJ Digital Medicine|June 21, 2026
HRRT: hierarchical reinforcement learning for renal replacement therapy decision supportQianyi Xu, Feng Wu, Zi Yi Christopher Thong, et al.
Interdisciplinary Sciences, Computational Life Sciences|January 19, 2023
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised ApproachJin Yin, Jia-Jun Qiu, Jing-Yan Liu, et al.
Acta Neurochirurgica. Supplement|February 14, 2012
Go green! Reusing brain monitoring data containing missing values: a feasibility study with traumatic brain injury patientsMengling Feng, Liang Yu Loy, Feng Zhang, et al.
Iscience|August 23, 2023
Artificial intelligence and machine learning in prehospital emergency care: A scoping reviewMarcel Lucas Chee, Mark Leonard Chee, Haotian Huang, et al.
NPJ Digital Medicine|August 13, 2025
GRACE-ICU: A multimodal nomogram-based approach for illness severity assessment of older adults in the ICUXiaoli Liu, Wesley Yeung, Ziyue Chen, et al.
BMJ Open|January 9, 2020
Characterising and predicting persistent high-cost utilisers in healthcare: a retrospective cohort study in SingaporeSheryl Hui Xian Ng, Nabilah Rahman, Ian Yi Han Ang, et al.
JMIR Diabetes|July 5, 2022
Machine Learning-Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Development StudyMukkesh Kumar, Li Ting Ang, Cindy Ho, et al.
Pageof 11