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Yuhan Du
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Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review
AM Antoniadi, Y Du, Y Guendouz, L Wei, C Mazo, BA Becker, C Mooney
Applied Sciences 11 (11), 5088, 2021
3162021
An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus
Y Du, AR Rafferty, FM McAuliffe, L Wei, C Mooney
Scientific Reports 12 (1), 1170, 2022
562022
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
Y Du, AM Antoniadi, C McNestry, FM McAuliffe, C Mooney
Applied Sciences 12 (20), 10323, 2022
152022
Machine learning-based clinical decision support systems for pregnancy care: a systematic review
Y Du, C McNestry, L Wei, AM Antoniadi, FM McAuliffe, C Mooney
International Journal of Medical Informatics 173, 105040, 2023
142023
Current state and future directions for deep learning based automatic seismic fault interpretation: a systematic review
Y An, H Du, S Ma, Y Niu, D Liu, J Wang, Y Du, C Childs, J Walsh, R Dong
Earth-Science Reviews, 104509, 2023
32023
Prediction of Large for Gestational Age Infants in Overweight and Obese Women at Approximately 20 Gestational Weeks
Y Du, J Mehegan, FM McAuliffe, C Mooney
Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020
22020
Towards an explainable clinical decision support system for large-for-gestational-age births
Y Du, AR Rafferty, FM McAuliffe, J Mehegan, C Mooney
Plos one 18 (2), e0281821, 2023
12023
Explaining large-for-gestational-age births: a random forest classifier with a novel local interpretation method
Y Du, AR Rafferty, FM McAuliffe, C Mooney
Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021
12021
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