| Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine … N Liu, M Liu, X Chen, Y Ning, JW Lee, FJ Siddiqui, SE Saffari, AFW Ho, ... EClinicalMedicine 48, 2022 | 22 | 2022 |
| 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 | 15 | 2023 |
| An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models H Yuan, M Liu, L Kang, C Miao, Y Wu arXiv preprint arXiv:2204.11351, 2022 | 11 | 2022 |
| 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 |
| 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 | 3 | 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 |
| Shapley variable importance cloud for machine learning models Y Ning, M Liu, N Liu arXiv preprint arXiv:2212.08370, 2022 | 1 | 2022 |
| 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 |
| Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making H Yuan, J Lee, M Liu, S Li, C Niu, J Wen, F Xie | | 2023 |
| Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making M Liu, Y Ning, H Yuan, MEH Ong, N Liu arXiv preprint arXiv:2206.04050, 2022 | | 2022 |
Yilin NingResearch Fellow, Centre for Quantitative Medicine, Duke-NUS Medical SchoolVerified email at duke-nus.edu.sg
