Assoc. Prof. Dr Liu Nan

Dr Liu Nan is an Associate Professor at Centre for Quantitative Medicine and Programme in Health Services and Systems Research, Duke-NUS Medicine School. His research focuses on health services research, emergency and prehospital care, cardiology, medical informatics, and health innovation


PhD, Machine Learning, Nanyang Technological University Singapore

Research Interests

Electronic Health Records and Medical Big Data;
Physiological Signal Analysis;
Deep Learning and Machine Learning;
Cardiovascular Research;
Prehospital and Emergency Care.


Meritorious Paper Award from Computers in Biology and Medicine journal
Best Abstract Award from European Emergency Medical Services Congress
Grand Prize from Singapore Tech-Factor Challenge
Paul Dudley White International Scholar Award from American Heart Association

Selected publications

Liu N, Ong MEH, Ho AFW, Pek PP, Lu TC, Khruekarnchana P, Song KJ, Tanaka H, Naroo GY, Gan HN, Koh ZX, Ma MHM. Validation of the ROSC after cardiac arrest (RACA) score in Pan-Asian out-of-hospital cardiac arrest patients. Resuscitation 2020; 149: 53-59.

Zhang Z, Zheng B, Liu N, Ge H, Hong Y. Mechanical power normalized to predicted body weight as a predictor of mortality in patients with acute respiratory distress syndrome. Intensive Care Medicine 2019; 45(6): 856-864.

Liu N, Zhang Z, Ho AFW, Ong MEH. Artificial intelligence in emergency medicine. Journal of Emergency Critical Care Medicine 2018; 2: 82.

Liu N, Sakamoto JT, Cao J, Koh ZX, Ho AFW, Lin Z, Ong MEH. Ensemble-based risk scoring with extreme learning machine for prediction of adverse cardiac events. Cognitive Computation 2017; 9(4): 545-554.

Sakamoto JT, Liu N, Koh ZX, Fung NXJ, Heldeweg MLA, Ng JCJ, Ong MEH. Comparing HEART, TIMI, and GRACE scores for prediction of 30-day major adverse cardiac events in high acuity chest pain patients in the emergency department. International Journal of Cardiology 2016; 221: 759-764.

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 Liu Nan
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