| 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 | 111 | 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, 2023 | 58 | 2023 |
| 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 | 28 | 2021 |
| 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 The International Conference on Learning Representations (ICLR), Tiny Paper …, 2023 | 24* | 2023 |
| 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 | 22 | 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 | 22 | 2020 |
| 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 | 19 | 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 The International Conference on Medical and Health Informatics (ICMHI), Full …, 2021 | 13 | 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 | 11 | 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, 2023 | 7 | 2023 |
| R Package 'AutoScore': an interpretable machine learning-based automatic clinical score generator. F Xie, Y Ning, H Yuan, E Saffari, B Chakraborty, N Liu | 7 | 2021 |
| Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare H Yuan☯︎, K Yu☯︎, F Xie☯︎, M Liu, S Sun Medicine Advances, 2024 | 6 | 2024 |
| Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records H Yuan, L Kang, Y Li, Z Fan Medicine Advances, 2024 | 6 | 2024 |
| 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 | 6 | 2024 |
| Human-Guided Design to Explain Deep Learning-based Pneumothorax Classifier H Yuan, PT Jiang, G Zhao The International Conference on Medical Imaging with Deep Learning (MIDL …, 2023 | 6 | 2023 |
| Toward real‐world deployment of machine learning for health care: External validation, continual monitoring, and randomized clinical trials H Yuan Health Care Science, 2024 | 5 | 2024 |
| Effect of Childhood Atropine Treatment on Adult Choroidal Thickness Using Sequential Deep Learning-Enabled Segmentation Y Li, D Wong, S Sreng, J Chung, A Toh, H Yuan, LS Eppenberger, ... Asia-Pacific Journal of Ophthalmology, 2024 | 4 | 2024 |
| Alternatives to the Kaplan–Meier estimator of progression-free survival JJ Zhang, Z Sun, H Yuan, M Wang The International Journal of Biostatistics, 2021 | 4 | 2021 |
| Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation H Yuan☯︎, C Hong☯︎, NTA Tran, X Xu, N Liu Health Care Science, 2024 | 3 | 2024 |
| Clinical decision making: Evolving from the hypothetico‐deductive model to knowledge‐enhanced machine learning H Yuan Medicine Advances, 2024 | 2 | 2024 |
