| Voting based extreme learning machine J Cao, Z Lin, GB Huang, N Liu Information Sciences 185 (1), 66-77, 2012 | 407 | 2012 |
| Ensemble based extreme learning machine N Liu, H Wang IEEE Signal Processing Letters 17 (8), 754-757, 2010 | 308 | 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 | 186 | 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 | 151 | 2012 |
| 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 | 142 | 2023 |
| 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 | 133 | 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 | 115 | 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 | 114 | 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 | 107 | 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 | 106 | 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 | 92 | 2022 |
| 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 | 91 | 2016 |
| 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 | 91 | 2015 |
| 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 | 90 | 2022 |
| 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 | 90 | 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 | 87 | 2019 |
| 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 | 80 | 2015 |
| 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 | 79 | 2014 |
| 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 | 71 | 2016 |
| Shapley variable importance cloud for interpretable machine learning Y Ning, MEH Ong, B Chakraborty, BA Goldstein, DSW Ting, R Vaughan, ... Patterns 3, 100452, 2022 | 64 | 2022 |
MEH ONGSenior Consultant, Singapore General HospitalEmail yang diverifikasi di sgh.com.sg
