Yilin Ning

A stratification approach using logit-based models for confounder adjustment in the study of continuous outcomes

Ying Chen, Chuen Seng Tan, Nathalie C Støer, 2019, Statistical methods in medical research.

A de-identification tool for users in medical operations and public health

Ying Chen, Xiaodong Deng, Chuen Seng Tan, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Feasibility of representing adherence to blood glucose monitoring through visualizations: A pilot survey study among healthcare workers

Ying Chen, Chuen Seng Tan, Wee Hwee Lin, 2018, Int. J. Medical Informatics.

Robust estimation of the effect of an exposure on the change in a continuous outcome

Kee Yuan Ngiam, Nathalie C. Støer, Chuen Seng Tan, 2020, BMC Medical Research Methodology.

Shapley variable importance clouds for interpretable machine learning pdf

Marcus Eng Hock Ong, Daniel Shu Wei Ting, Yilin Ning, 2021, ArXiv.

A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study pdf

Marcus Eng Hock Ong, Daniel Shu Wei Ting, Yilin Ning, 2022, AMIA.

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.

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 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.