| Harnessing the power of machine learning in dementia informatics research: Issues, opportunities, and challenges G Tsang, X Xie, SM Zhou IEEE reviews in biomedical engineering 13, 113-129, 2019 | 49 | 2019 |
| Modeling large sparse data for feature selection: hospital admission predictions of the dementia patients using primary care electronic health records G Tsang, SM Zhou, X Xie IEEE Journal of Translational Engineering in Health and Medicine 9, 1-13, 2020 | 24 | 2020 |
| Recurrent neural networks for financial time-series modelling G Tsang, J Deng, X Xie 2018 24th International Conference on Pattern Recognition (ICPR), 892-897, 2018 | 21 | 2018 |
| Deep learning based sepsis intervention: The modelling and prediction of severe sepsis onset G Tsang, X Xie 2020 25th international conference on pattern recognition (ICPR), 8671-8678, 2021 | 8 | 2021 |
| Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach SM Zhou, G Tsang, X Xie, L Huo, S Brophy, RA Lyons The Lancet 392, S9, 2018 | 5 | 2018 |
| RetainEXT: Enhancing Rare Event Detection and Improving Interpretability of Health Records using Temporal Neural Networks S Ramchand, G Tsang, D Cole, X Xie 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022 | 1 | 2022 |
| Time-Series Embedded Feature Selection Using Deep Learning: Data Mining Electronic Health Records for Novel Biomarkers G Tsang | | 2022 |
