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 | 369 | 2021 |
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 | 70 | 2022 |
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 | 19 | 2023 |
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 | 15 | 2022 |
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 | 6 | 2023 |
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 | 2 | 2023 |
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 | 2 | 2020 |
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 | 1 | 2021 |