Nan LIU, PhD
Nan LIU, PhD
Duke-NUS Medical School
Verified email at - Homepage
Cited by
Cited by
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
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
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 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
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
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
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
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
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
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), e14197, 2019
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
Steps to avoid overuse and misuse of machine learning in clinical research
V Volovici, NL Syn, A Ercole, JJ Zhao, N Liu
Nature Medicine 28 (10), 1996-1999, 2022
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
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
F Xie, H Yuan, Y Ning, MEH Ong, M Feng, W Hsu, B Chakraborty, N Liu
Journal of Biomedical Informatics 126, 103980, 2022
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
Large language models in health care: Development, applications, and challenges
R Yang, TF Tan, W Lu, AJ Thirunavukarasu, DSW Ting, N Liu
Health Care Science 2 (4), 255-263, 2023
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
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