Nan LIU, PhD
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Voting based extreme learning machine
J Cao, Z Lin, GB Huang, N Liu
Information Sciences 185 (1), 66-77, 2012
Ensemble based extreme learning machine
N Liu, H Wang
IEEE Signal Processing Letters 17 (8), 754-757, 2010
Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift
B Mirza, Z Lin, N Liu
Neurocomputing 149, 316-329, 2015
Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with …
MEH Ong, CHL Ng, K Goh, N Liu, ZX Koh, N Shahidah, T Zhang, ...
Critical Care 16 (3), R108, 2012
Predicting 30-day readmissions: performance of the LACE index compared with a regression model among general medicine patients in Singapore
LL Low, KH Lee, MEH Ong, S Wang, SY Tan, J Thumboo, N Liu
BioMed Research International 2015, 169870, 2015
Mechanical power normalized to predicted body weight as a predictor of mortality in patients with acute respiratory distress syndrome
Z Zhang, B Zheng, N Liu, H Ge, Y Hong
Intensive Care Medicine 45 (6), 856-864, 2019
Landmark recognition with sparse representation classification and extreme learning machine
J Cao, Y Zhao, X Lai, MEH Ong, C Yin, ZX Koh, N Liu
Journal of the Franklin Institute 352 (10), 4528–4545, 2015
Utilizing Machine Learning Methods for Preoperative Prediction of Postsurgical Mortality and Intensive Care Unit Admission
CJ Chiew, N Liu, TH Wong, YE Sim, HR Abdullah
Annals of Surgery 272 (6), 1133–1139, 2020
Predicting hospital admission at the emergency department triage: A novel prediction model
CA Parker, N Liu, SX Wu, Y Shen, SSW Lam, MEH Ong
American Journal of Emergency Medicine 37 (8), 1498-1504, 2019
Coronavirus disease 2019 (COVID-19): an evidence map of medical literature
N Liu, ML Chee, C Niu, PP Pek, FJ Siddiqui, JP Ansah, DB Matchar, ...
BMC Medical Research Methodology 20 (1), 177, 2020
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
JT Sakamoto, N Liu, ZX Koh, NXJ Fung, MLA Heldeweg, JCJ Ng, ...
International Journal of Cardiology 221, 759-764, 2016
Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection
N Liu, ZX Koh, J Goh, Z Lin, B Haaland, BP Ting, ME Ong
BMC Medical Informatics and Decision Making 14 (1), 75, 2014
Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department
CJ Chiew, N Liu, T Tagami, TH Wong, ZX Koh, MEH Ong
Medicine 98 (6), 2019
Associations between gender and cardiac arrest outcomes in Pan-Asian out-of-hospital cardiac arrest patients
YY Ng, W Wah, N Liu, SA Zhou, AFW Ho, PP Pek, S Do Shin, H Tanaka, ...
Resuscitation 102, 116–121, 2016
Predictive modeling in pediatric traumatic brain injury using machine learning
SL Chong, N Liu, S Barbier, MEH Ong
BMC Medical Research Methodology 15 (1), 22, 2015
AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records
F Xie, B Chakraborty, MEH Ong, BA Goldstein, N Liu
JMIR Medical Informatics 8 (10), e21798, 2020
Predicting 30-day readmissions in an Asian population: building a predictive model by incorporating markers of hospitalization severity
LL Low, N Liu, S Wang, J Thumboo, MEH Ong, KH Lee
PLOS ONE 11 (12), e0167413, 2016
Risk scoring for prediction of acute cardiac complications from imbalanced clinical data
N Liu, ZX Koh, E Chua, L Tan, Z Lin, B Mirza, MEH Ong
IEEE Journal of Biomedical and Health Informatics 18 (6), 1894-1902, 2014
Housing as a social determinant of health in Singapore and its association with readmission risk and increased utilization of hospital services
LL Low, W Wah, MJM Ng, SY Tan, N Liu, KH Lee
Frontiers in Public Health 4, 00109, 2016
An intelligent scoring system and its application to cardiac arrest prediction
N Liu, Z Lin, J Cao, ZX Koh, T Zhang, W Ser, GB Huang, MEH Ong
IEEE Transactions on Information Technology in Biomedicine 16 (6), 1324-1331, 2012
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