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Mengling 'Mornin' Feng
Assistant Professor
Saw Swee Hock School of Public Health
National University of Singapore;Yong Loo Lin School of Medicine, National University of Singapore;National University Hospital Study;Lab for Computational Physiology, Harvard-MIT Health Sciences and Technology Division
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基本信息
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Bio
Dr. Feng’s research is to develop effective data analytics and Artificial Intelligence (AI) solutions to extract actionable knowledge to improve the quality of care. His research brings together concepts and tools across machine learning, optimization, signal processing, statistical causal inference and big data management. In particular, he has been publishing on physiological signal forecasting, modeling of disease progress trajectory, dynamic patient phenotyping, statistical understanding of treatment effects and management of heterogeneous medical big data. Dr. Feng works closely with clinicians around the world, and he also collaborates with major healthcare and IT companies, such as MSD, Philips and SAP. Dr. Feng’s work was recognized by both well-established journals, such as Science
Translational Medicine, JAMA, Intensive Care Medicine and top international conferences, such as KDD, AAAI and AMIA.
Translational Medicine, JAMA, Intensive Care Medicine and top international conferences, such as KDD, AAAI and AMIA.
Research Interests
Papers共 155 篇Author StatisticsCo-AuthorSimilar Experts
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Medical Image Analysis (2024): 103223-103223
Environmental research (2024): 118523-118523
CoRR (2024)
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Daniel J. Tan, Jiayang Chen, Yirui Zhou, Jaryl Shen Quan Ong, Richmond Jing Xuan Sin, Thach V. Bui, Anokhi Amit Mehta,Mengling Feng,Kay Choong See
European Journal of Medical Researchno. 1 (2024): 1-11
Wenbo He,Meixuan Li,Liujiao Cao, Rui Liu,Jiuhong You, Fangyuan Jing, Jiawen Zhang,Wei Zhang,Mengling Feng
Journal of evidence-based medicineno. 2 (2023): 200-215
Wenbo He,Meixuan Li, Liping Cao,Rui Li,Jiuhong You, Fangyuan Jing,Jiawen Zhang,Wei Zhang,Mengling Feng
Journal of Evidence-Based Medicineno. 2 (2023): 200-215
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