| Towards Clinical AI Fairness: Filling Gaps in the Puzzle M Liu, Y Ning, S Teixayavong, X Liu, M Mertens, Y Shang, X Li, D Miao, ... arXiv preprint arXiv:2405.17921, 2024 | | 2024 |
| Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data S Li, Y Shang, Z Wang, Q Wu, C Hong, Y Ning, D Miao, MEH Ong, ... arXiv preprint arXiv:2403.05229, 2024 | | 2024 |
| Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare M Liu, Y Ning, Y Ke, Y Shang, B Chakraborty, MEH Ong, R Vaughan, ... arXiv preprint arXiv:2403.05235, 2024 | | 2024 |
| Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission Z Wang, JW Lee, T Chakraborty, Y Ning, M Liu, F Xie, MEH Ong, N Liu arXiv preprint arXiv:2403.06999, 2024 | | 2024 |
| Heat-related illness in Singapore: Descriptive analysis of a tertiary care center from 2008 to 2020 Y Okada, J Aik, AFW Ho, Y Ning, MEH Ong Proceedings of Singapore Healthcare 33, 20101058241232182, 2024 | 1 | 2024 |
| Topical atropine for childhood myopia control: the atropine treatment long-term assessment study Y Li, M Yip, Y Ning, J Chung, A Toh, C Leow, N Liu, D Ting, L Schmetterer, ... JAMA ophthalmology 142 (1), 15-23, 2024 | 7 | 2024 |
| Explainable artificial intelligence in emergency medicine: an overview Y Okada, Y Ning, MEH Ong Clinical and Experimental Emergency Medicine 10 (4), 354, 2023 | 1 | 2023 |
| Federated and distributed learning applications for electronic health records and structured medical data: A scoping review S Li, P Liu, GG Nascimento, X Wang, FRM Leite, B Chakraborty, C Hong, ... Journal of the American Medical Informatics Association 30 (12), 2041–2049, 2023 | 7 | 2023 |
| Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches S Li, D Miao, Q Wu, C Hong, D D'Agostino, X Li, Y Ning, Y Shang, H Fu, ... arXiv preprint arXiv:2311.03417, 2023 | | 2023 |
| Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist Y Ning, S Teixayavong, Y Shang, J Savulescu, V Nagaraj, D Miao, ... arXiv preprint arXiv:2311.02107, 2023 | 4 | 2023 |
| FedScore: A privacy-preserving framework for federated scoring system development S Li, Y Ning, MEH Ong, B Chakraborty, C Hong, F Xie, H Yuan, M Liu, ... Journal of Biomedical Informatics 146, 104485, 2023 | 4 | 2023 |
| A translational perspective towards clinical AI fairness M Liu, Y Ning, S Teixayavong, M Mertens, J Xu, DSW Ting, LTE Cheng, ... NPJ Digital Medicine 6 (1), 172, 2023 | 9 | 2023 |
| A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes F Xie, Y Ning, M Liu, S Li, SE Saffari, H Yuan, V Volovici, DSW Ting, ... STAR protocols 4 (2), 102302, 2023 | 1 | 2023 |
| Identifying clinical features and blood biomarkers associated with mild cognitive impairment in Parkinson disease using machine learning X Deng, Y Ning, SE Saffari, B Xiao, C Niu, SYE Ng, N Chia, X Choi, ... European Journal of Neurology 30 (6), 1658-1666, 2023 | 4 | 2023 |
| Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques M Liu, S Li, H Yuan, MEH Ong, Y Ning, F Xie, SE Saffari, Y Shang, ... Artificial Intelligence in Medicine, 102587, 2023 | 18 | 2023 |
| A roadmap to fair and trustworthy prediction model validation in healthcare Y Ning, V Volovici, MEH Ong, BA Goldstein, N Liu arXiv preprint arXiv:2304.03779, 2023 | | 2023 |
| Robust and Interpretable Machine Learning Assessment of Variable Importance with Moderate to Small Sample Sizes: A Study of Survival after Out-Of-Hospital Cardiac Arrest Y Ning, S Li, YY Ng, MYC Chia, HN Gan, L Tiah, DRH Mao, WM Ng, ... Available at SSRN 4423470, 2023 | | 2023 |
| Shapley variable importance cloud for machine learning models Y Ning, M Liu, N Liu arXiv preprint arXiv:2212.08370, 2022 | 1 | 2022 |
| AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes SE Saffari, Y Ning, F Xie, B Chakraborty, V Volovici, R Vaughan, ... BMC Medical Research Methodology 22 (1), 286, 2022 | 3 | 2022 |
| Types of Quantitative Data (Continuous, Categorical, Distributions, Skewness) Y Ning, N Liu, MEH Ong Introducing, Designing and Conducting Research for Paramedics, 115, 2022 | | 2022 |
MEH ONGSenior Consultant, Singapore General Hospital在 sgh.com.sg 的电子邮件经过验证
