Full Name
Nan Liu
Main Affiliation


Results 1-20 of 21 (Search time: 0.013 seconds).

Issue DateTitleAuthor(s)
12016A 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 
22018A novel heart rate variability based risk prediction model for septic patients presenting to the emergency departmentSamsudin, M.I.; Liu, N. ; Prabhakar, S.M.; Chong, S.-L.; Kit Lye, W. ; Koh, Z.X.; Guo, D.; Rajesh, R.; Ho, A.F.W.; Ong, M.E.H. 
32020AutoScore: A machine learning–based automatic clinical score generator and its application to mortality prediction using electronic health recordsXie, F.; Chakraborty, B. ; Hock Ong, M.E.; Goldstein, B.A.; Liu, N. 
42019Combining heart rate variability with disease severity score variables for mortality risk stratification in septic patients presenting at the emergency departmentPong, J.Z.; Fook-Chong, S.; Koh, Z.X.; Samsudin, M.I.; Tagami, T.; Chiew, C.J.; Wong, T.H.; Ho, A.F.W.; Ong, M.E.H. ; Liu, N. 
52019Combining quick sequential organ failure assessment score with heart rate variability may improve predictive ability for mortality in septic patients at the emergency departmentPrabhakar, S.M.; Tagami, T. ; Liu, N. ; Samsudin, M.I.; Ng, J.C.J.; Koh, Z.X.; Ong, M.E.H. 
630-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. 
71-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 
817-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 
92017Evaluation 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 
102014Evolutionary voting-based extreme learning machinesLiu, N ; Cao, J; Lin, Z; Pek, P.P; Koh, Z.X; Ong, M.E.H 
112017FAM-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 
122019Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency departmentChiew, C.J.; Liu, N. ; Tagami, T. ; Wong, T.H.; Koh, Z.X.; Ong, M.E.H. ; Chung, F.-T..
132020Individualized fluid administration for critically ill patients with sepsis with an interpretable dynamic treatment regimen modelZhang, Z.; Zheng, B.; Liu, N. 
142019Novel model for predicting inpatient mortality after emergency admission to hospital in Singapore: Retrospective observational studyXie, F. ; Liu, N. ; Wu, S.X.; Ang, Y.; Low, L.L. ; Ho, A.F.W.; Lam, S.S.W. ; Matchar, D.B. ; Ong, M.E.H. ; Chakraborty, B. 
152016Predicting 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. 
162015Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in SingaporeLow, L.L; Lee, K.H ; Hock Ong, M.E; Wang, S; Tan, S.Y ; Thumboo, J ; Liu, N 
172014Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selectionLiu, N ; Koh, Z.X; Goh, J; Lin, Z; Haaland, B ; Ting, B.P; Ong, M.E.H 
182012Prediction 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
192015Predictive modeling in pediatric traumatic brain injury using machine learning Data analysis, statistics and modellingChong, S.-L; Liu, N ; Barbier, S; Ong, M.E.H 
202014Risk stratification with extreme learning machine: A retrospective study on emergency department patientsLiu, N ; Cao, J; Koh, Z.X; Pek, P.P; Ong, M.E.H