Han Yuan

发表

Multitask learning improves prediction of cancer drug sensitivity

Hristo S. Paskov, I. Paskov, C. Leslie, 2016, Scientific Reports.

Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making

Marcus Eng Hock Ong, Nan Liu, Yilin Ning, 2022, ArXiv.

Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies

Wynne Hsu, Marcus Eng Hock Ong, Bibhas Chakraborty, 2021, J. Biomed. Informatics.

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

Marcus Eng Hock Ong, S. Saffari, Nan Liu, 2022, Artif. Intell. Medicine.

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data pdf

Hairil Rizal Abdullah, Marcus Eng Hock Ong, Bibhas Chakraborty, 2021, J. Biomed. Informatics.

Prediction of Adverse Drug Reaction using Machine Learning and Deep Learning Based on an Imbalanced Electronic Medical Records Dataset

Yi Xin Zhao, Han Yuan, Ying Wu, 2021, ICMHI.

FedScore: A privacy-preserving framework for federated scoring system development

Daniel M. Buckland, Nan Liu, Yilin Ning, 2023, J. Biomed. Informatics.

AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data pdf

Marcus Eng Hock Ong, Bibhas Chakraborty, Yilin Ning, 2021, J. Biomed. Informatics.

Deep multi-modal fusion network with gated unit for breast cancer survival prediction.

Han Yuan, Hongzhen Xu, 2023, Computer methods in biomechanics and biomedical engineering.

A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes

B. Goldstein, S. Saffari, Yilin Ning, 2023, STAR protocols.