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个人简介
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.
研究兴趣
论文共 149 篇作者统计合作学者相似作者
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Yizhi Dong,Hui Xing Lau, Noor Hidayatul Aini Suaini,Michelle Zhi Ling Kee,Delicia Shu Qin Ooi,Lynette Pei-chi Shek,Bee Wah Lee,Keith M. Godfrey,Elizabeth Huiwen Tham,Marcus Eng Hock Ong,Nan Liu,Limsoon Wong,
Environmental Research (2024): 118523-118523
arxiv(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
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Health data science (2023): 0008-0008
CoRR (2023)
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IEEE Signal Processing Lettersno. 99 (2023): 1-5
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