| 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 | 55 | 2023 |
| Benchmarking emergency department prediction models with machine learning and public electronic health records F Xie, J Zhou, JW Lee, M Tan, S Li, LSO Rajnthern, ML Chee, ... Scientific Data 9 (1), 658, 2022 | 43 | 2022 |
| Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture ZL Teo, L Jin, N Liu, S Li, D Miao, X Zhang, WY Ng, TF Tan, DM Lee, ... Cell Reports Medicine 5 (2), 2024 | 25 | 2024 |
| A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort … Y Ning, S Li, MEH Ong, F Xie, B Chakraborty, DSW Ting, N Liu PLOS Digital Health 1 (6), e0000062, 2022 | 23 | 2022 |
| 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 | 15 | 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 | 11 | 2023 |
| Development and validation of an interpretable clinical score for early identification of acute kidney injury at the emergency department Y Ang, S Li, MEH Ong, F Xie, SH Teo, L Choong, R Koniman, ... Scientific Reports 12 (1), 7111, 2022 | 10 | 2022 |
| 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 | 7 | 2023 |
| Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis S Li, X Li, K Yu, D Miao, M Zhu, M Yan, Y Ke, D D'Agostino, Y Ning, Q Wu, ... arXiv preprint arXiv:2407.11034, 2024 | 4 | 2024 |
| CanVaxKB: a web-based cancer vaccine knowledgebase E Asfaw, AY Lin, A Huffman, S Li, M George, C Darancou, M Kalter, ... NAR cancer 6 (1), zcad060, 2024 | 2 | 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 | 2 | 2023 |
| Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis S Li, D Miao, Q Wu, C Hong, D D’Agostino, X Li, Y Ning, Y Shang, Z Wang, ... Health Data Science 4, 0196, 2024 | 1 | 2024 |
| Variable importance analysis with interpretable machine learning for fair risk prediction Y Ning, S Li, YY Ng, MYC Chia, HN Gan, L Tiah, DR Mao, WM Ng, ... PLOS Digital Health 3 (7), e0000542, 2024 | 1 | 2024 |
| FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction S Li, Q Wu, X Li, D Miao, C Hong, W Gu, Y Shang, Y Okada, MH Chen, ... arXiv preprint arXiv:2410.17269, 2024 | | 2024 |
| FedIMPUTE: Privacy-Preserving Missing Value Imputation for Multi-Site Heterogeneous Electronic Health Records S Li, M Yan, R Yuan, M Liu, N Liu, C Hong Available at SSRN 4930174, 2024 | | 2024 |
| Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records Q Wu, S Li, D Miao, Y Shang, X Li, N Liu The Second Tiny Papers Track at ICLR 2024, 2024 | | 2024 |
| Empirical Evaluations of Personalized Federated Learning on Heterogeneous Electronic Health Records Y Shang, Q Wu, S Li, D Miao The Second Tiny Papers Track at ICLR 2024, 2024 | | 2024 |
| Transfer Learning for Global Feature Importance Measurements X Li, S Li, Q Wu, K Yu The Second Tiny Papers Track at ICLR 2024, 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 |
| Federation of scoring systems N Liu, S Li, EHM Ong WO Patent 2024039301A1, 2024 | | 2024 |
MEH ONGSenior Consultant, Singapore General HospitalVerified email at sgh.com.sg