| 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, ... Journal of Biomedical Informatics, 2022 | 66 | 2022 |
| TRIM37 orchestrates renal cell carcinoma progression via histone H2A ubiquitination-dependent manner C Miao, C Liang, P Li, B Liu, C Qin, H Yuan, Y Liu, J Zhu, Y Cui, A Xu, ... Journal of Experimental & Clinical Cancer Research, 2021 | 21 | 2021 |
| AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data F Xie, Y Ning, H Yuan, BA Goldstein, MEH Ong, N Liu, B Chakraborty Journal of Biomedical Informatics, 2022 | 15 | 2022 |
| Effect of enhanced recovery after surgery on postoperative recovery and quality of life in patients undergoing laparoscopic partial nephrectomy C Miao☯︎, A Yu☯︎, H Yuan☯︎, M Gu, Z Wang Frontiers in Oncology, 2020 | 15 | 2020 |
| 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, 2023 | 14 | 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 International Conference on Learning Representations (ICLR), Tiny Paper Track, 2023 | 12* | 2023 |
| AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data H Yuan, F Xie, MEH Ong, Y Ning, ML Chee, SE Saffari, HR Abdullah, ... Journal of Biomedical Informatics, 2022 | 11 | 2022 |
| Prediction of adverse drug reaction using machine learning and deep learning based on an imbalanced electronic medical records dataset Y Zhao☯︎, H Yuan☯︎, Y Wu International Conference on Medical and Health Informatics (ICMHI), Full …, 2021 | 7 | 2021 |
| Package 'AutoScore': an interpretable machine learning-based automatic clinical score generator F Xie, Y Ning, H Yuan, E Saffari, B Chakraborty, N Liu R Package, 2021 | 6* | 2021 |
| 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, 2023 | 3 | 2023 |
| Human-Guided Design to Explain Deep Learning-based Pneumothorax Classifier H Yuan, PT Jiang, G Zhao Medical Imaging with Deep Learning (MIDL), Short Paper Track, 2023 | 3 | 2023 |
| Alternatives to the Kaplan–Meier estimator of progression-free survival JJ Zhang, Z Sun, H Yuan, M Wang The International Journal of Biostatistics, 2021 | 3 | 2021 |
| 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, 2023 | 1 | 2023 |
| Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification H Yuan☯︎, C Hong☯︎, PT Jiang, G Zhao, NTA Tran, X Xu, YY Yan, N Liu Journal of Biomedical Informatics, 2024 | | 2024 |
| A Modified Gower Distance-Based Clustering Analysis for Mixed-Type Data P Liu, H Yuan, N Liu, MA Peres SSRN, 2024 | | 2024 |
| Foundation Model Makes Clustering a Better Initialization for Active Learning H Yuan, C Hong arXiv, 2024 | | 2024 |
| Approximate Policy Iteration With Deep Minimax Average Bellman Error Minimization L Kang, Y Liu, Y Luo, JZ Yang, H Yuan, C Zhu IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation H Yuan☯︎, C Hong☯︎, NTA Tran, X Xu, N Liu arXiv, 2023 | | 2023 |
| Error Analysis of Fitted Q-iteration with ReLU-activated Deep Neural Networks L Kang, H Yuan, C Zhu International Conference on Learning Representations (ICLR), Tiny Paper Track, 2023 | | 2023 |
| 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 International Conference on Learning Representations (ICLR), Tiny Paper Track, 2023 | | 2023 |
Yilin NingResearch Fellow, Centre for Quantitative Medicine, Duke-NUS Medical SchoolAdresse e-mail validée de duke-nus.edu.sg
