Nan LIU, PhD
Nan LIU, PhD
Duke-NUS Medical School
Dirección de correo verificada de duke-nus.edu.sg - Página principal
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Citado por
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Año
Voting based extreme learning machine
J Cao, Z Lin, GB Huang, N Liu
Information Sciences 185 (1), 66-77, 2012
3142012
Ensemble based extreme learning machine
N Liu, H Wang
IEEE Signal Processing Letters 17 (8), 754-757, 2010
2312010
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
1292015
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
882012
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
732015
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
662015
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
502016
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
392014
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
382015
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
372016
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
362019
Patient outcome prediction with heart rate variability and vital signs
N Liu, Z Lin, ZX Koh, GB Huang, W Ser, MEH Ong
Journal of Signal Processing Systems 64 (2), 265-278, 2011
352011
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
342014
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
312012
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
292016
A novel cardiovascular risk stratification model incorporating ECG and heart rate variability for patients presenting to the emergency department with chest pain
MLA Heldeweg, N Liu, ZX Koh, S Fook-Chong, WK Lye, M Harms, ...
Critical Care 20, 179, 2016
292016
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
262019
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
262016
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, 2019
252019
Frequent hospital admissions in Singapore: clinical risk factors and impact of socioeconomic status
LL Low, WY Tay, MJM Ng, SY Tan, N Liu, KH Lee
Singapore Medical Journal 59 (1), 39-43, 2018
232018
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