Browsing by Author LIU NAN

Showing results 1 to 9 of 9
Issue DateTitleAuthor(s)
2016A novel cardiovascular risk stratification model incorporating ECG and heart rate variability for patients presenting to the emergency department with chest painHeldeweg, M.L.A; Liu, N ; Koh, Z.X; Fook-Chong, S; Lye, W.K ; Harms, M; Ong, M.E.H 
30-Jul-2020Coronavirus disease 2019 (COVID-19): an evidence map of medical literatureLIU NAN ; Chee, M.L.; Niu, C.; Pek, P.P.; Siddiqui, F.J. ; Ansah, J.P. ; Matchar, D.B. ; Lam, S.S.W. ; Abdullah, H.R.; Chan, A.; Malhotra, R.; Graves, N.; Koh, M.S.; Yoon, S.; Ho, A.F.W.; Ting, D.S.W. ; Low, J.G.H. ; Ong, M.E.H. 
1-Jan-2018Development of a Radiology Decision Support System for the Classification of MRI Brain ScansZhang, Alwin Yaoxian ; Lam, Sean Shao Wei ; Liu, Nan ; Pang, Yan ; Chan, Ling Ling ; Tang, Phua Hwee 
17-Mar-2016Emergency Medical Services Utilization among Patients with ST-Segment Elevation Myocardial Infarction: Observations from the Singapore Myocardial Infarction RegistryAndrew Ho; En Yun Loy; Pin Pin Pek; Win Wah ; Timothy Xin Zhong Tan; Nan Liu ; Terrance Siang Jin Chua; Tian Hai Koh; Khuan Yew Chow; Marcus Eng Hock Ong 
2017Evaluation of a practical expert defined approach to patient population segmentation: A case study in SingaporeLow, L.L ; Kwan, Y.H; Liu, N ; Jing, X; Low, E.C.T ; Thumboo, J 
2017FAM-FACE-SG: A score for risk stratification of frequent hospital admittersLow, L.L ; Liu, N ; Lee, K.H ; Ong, M.E.H ; Wang, S; Jing, X; Thumboo, J 
2016Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severityLow L.L. ; Liu N. ; Wang S. ; Thumboo J. ; Ong M.E.H. ; Lee K.H. 
2012Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with the modified early warning scoreHock Ong, M.E; Lee Ng, C.H; Goh, K; Liu, N ; Koh, Z.X; Shahidah, N; Zhang, T.T; Fook-Chong, S; Lin, Z
2015Predictive modeling in pediatric traumatic brain injury using machine learning Data analysis, statistics and modellingChong, S.-L; Liu, N ; Barbier, S; Ong, M.E.H