Dr Yuhan Du

Post-Doctoral Research Fellow, School of Computer Science, University College Dublin

In collaboration with UCD School of Medicine

Post-doc Project: Development of a Biomarker-Based Risk Stratification Platform to Determine Metabolic Health In Obesity (Methealth)

Research Interests: Medical and Bioinformatics, Clinical Decision Support Systems, Machine Learning, Explainable Artificial Intelligence


PhD Computer Science – University College Dublin (2018.9 – 2022.12)

BE Internet of Things – University College Dublin & Beijing University of Technology (2014.9 – 2018.7)

Email: yuhan.du@ucd.ie

Google Scholar: https://scholar.google.com/citations?user=SO0UqasAAAAJ&hl=en&oi=ao

Twitter: https://twitter.com/yuhan54594827


Du, Y., Rafferty, A. R., McAuliffe, F.M., Mehegan, J. and Mooney, C. Towards an explainable clinical decision support system for large-for-gestational-age births. PLOS ONE (2023). DOI: 10.1371/journal.pone.0281821

Du, Y., Antoniadi, A. M., McNestry, C., McAuliffe, F. M., & Mooney, C. The Role of XAI in Advice-Taking from a Clinical Decision Support System: A Comparative User Study of Feature Contribution-Based and Example-Based Explanations. Applied Sciences (2022). DOI: 10.3390/app122010323

Du, Y., Rafferty, A. R., McAuliffe, F. M., Wei, L., and Mooney, C. An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus, Scientific Reports (2022). DOI: 10.1038/s41598-022-05112-2

Antoniadi, A.M., Du, Y., Guendouz, Y., Wei, L., Mazo, C., Becker, B.A. and Mooney, C. Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review, Applied Sciences (2021). DOI: 10.3390/app11115088

Du, Y., Mehegan, J., McAuliffe, F.M. and Mooney, C. Prediction of Large for Gestational Age Infants in Overweight and Obese Women at Approximately 20 Gestational Weeks. The 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Virtual, Sep 21-24, 2020

Du Y. and Mooney, C. Prediction of Gestational Diabetes Mellitus in Overweight and Obese Caucasian Women using Machine Learning. AMIA 2021 Informatics Summit, Virtual, Mar 22 – 25, 2021

Du, Y., Rafferty, A.R., McAuliffe, F.M. and Mooney, C. Explaining large-for-gestational-age births: a random forest classifier with a novel local interpretation method. The 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, Virtual, Aug 1-4, 2021

Du Y. and Mooney, C. Early Prediction of Macrosomia using Machine Learning. The Grace Hopper Virtual Celebration 2021, Virtual, Sep 27 – Oct 1, 2021

Other Conferences: ACM Celebration of Women in Computing: womENcourage 2019

Teaching Assistant in Beijing-Dublin International College (BDIC):

Responsible for Modules: Introduction to Software Engineering, Machine Learning, Introduction to Programming, Software Engineering Project, Software Engineering Degree Project