| Suburban Road Networks to Explore COVID-19 Vulnerability and Severity S Uddin, A Khan, H Lu, F Zhou, S Karim International journal of environmental research and public health 19 (4), 2039, 2022 | 13 | 2022 |
| Comparing the Impact of Road Networks on COVID-19 Severity between Delta and Omicron Variants: A Study Based on Greater Sydney (Australia) Suburbs S Uddin, H Lu, A Khan, S Karim, F Zhou International Journal of Environmental Research and Public Health 19 (11), 6551, 2022 | 8 | 2022 |
| Road networks and socio-demographic factors to explore COVID-19 infection during its different waves S Uddin, A Khan, H Lu, F Zhou, S Karim, F Hajati, MA Moni Scientific Reports 14 (1), 1551, 2024 | 5 | 2024 |
| Interpretable Drug-to-Drug Network Features for Predicting Adverse Drug Reactions F Zhou, S Uddin Healthcare 11 (4), 610, 2023 | 4 | 2023 |
| Mining adverse drug events from patients’ disease histories via a GNN-based subgraph prediction method F Zhou, S Uddin Proceedings of the 2023 Australasian Computer Science Week, 227-230, 2023 | 2 | 2023 |
| Graph neural network-based subgraph analysis for predicting adverse drug events F Zhou, M Khushi, J Brett, S Uddin Computers in Biology and Medicine 183, 109282, 2024 | 1 | 2024 |
| How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights F Zhou, S Uddin Proceedings of the 2023 Australasian Computer Science Week, 231-233, 2023 | 1 | 2023 |
| Fusion of Graph and Natural Language Processing in Predictive Analytics for Adverse Drug Reactions F Zhou, S Uddin Proceedings of the 2024 Australasian Computer Science Week, 65-68, 2024 | | 2024 |
Shahadat UddinThe University of SydneyPreverjeni e-poštni naslov na sydney.edu.au