| Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction S Uddin, I Haque, H Lu, MA Moni, E Gide Scientific Reports 12 (1), 6256, 2022 | 263 | 2022 |
| A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus H Lu, S Uddin, F Hajati, MA Moni, M Khushi Applied Intelligence 52 (3), 2411-2422, 2022 | 93 | 2022 |
| A weighted patient network-based framework for predicting chronic diseases using graph neural networks H Lu, S Uddin Scientific reports 11 (1), 22607, 2021 | 46 | 2021 |
| Machine learning in project analytics: A data-driven framework and case study S Uddin, S Ong, H Lu Scientific reports 12 (1), 15252, 2022 | 23 | 2022 |
| Disease prediction using graph machine learning based on electronic health data: a review of approaches and trends H Lu, S Uddin Healthcare 11 (7), 1031, 2023 | 17 | 2023 |
| A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities H Lu, S Uddin Applied Intelligence 52 (9), 10330-10340, 2022 | 17 | 2022 |
| Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics S Uddin, S Wang, H Lu, A Khan, F Hajati, M Khushi Expert Systems with Applications 205, 117761, 2022 | 14 | 2022 |
| Explainable stacking-based model for predicting hospital readmission for diabetic patients H Lu, S Uddin Information 13 (9), 436, 2022 | 11 | 2022 |
| Predictive risk modelling in mental health issues using machine learning on graphs H Lu, S Uddin, F Hajati, M Khushi, MA Moni Proceedings of the 2022 Australasian Computer Science Week, 168-175, 2022 | 10 | 2022 |
| 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 | 8 | 2022 |
| Comorbidity progression patterns of major chronic diseases: The impact of age, gender and time-window S Uddin, S Wang, A Khan, H Lu Chronic Illness 19 (2), 304-313, 2023 | 7 | 2023 |
| Embedding-based link predictions to explore latent comorbidity of chronic diseases H Lu, S Uddin Health information science and systems 11 (1), 2, 2022 | 7 | 2022 |
| A machine learning software tool for multiclass classification S Wang, H Lu, A Khan, F Hajati, M Khushi, S Uddin Software Impacts 13, 100383, 2022 | 6 | 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 | 5 | 2022 |
| Integrating machine learning and network analytics to model project cost, time and quality performance S Uddin, S Ong, H Lu, P Matous Production Planning & Control, 1-15, 2023 | 4 | 2023 |
| Dataset meta-level and statistical features affect machine learning performance S Uddin, H Lu Scientific Reports 14 (1), 1670, 2024 | 3 | 2024 |
| 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 | 3 | 2024 |
| Unsupervised machine learning for disease prediction: a comparative performance analysis using multiple datasets H Lu, S Uddin Health and Technology 14 (1), 141-154, 2024 | 2 | 2024 |
| Confirming the statistically significant superiority of tree-based machine learning algorithms over their counterparts for tabular data S Uddin, H Lu Plos one 19 (4), e0301541, 2024 | 1 | 2024 |
| A parameterised model for link prediction using node centrality and similarity measure based on graph embedding H Lu, S Uddin Neurocomputing 593, 127820, 2024 | | 2024 |
Shahadat UddinThe University of Sydney在 sydney.edu.au 的电子邮件经过验证
