| Performance analysis of data mining classification techniques to predict diabetes S Perveen, M Shahbaz, A Guergachi, K Keshavjee Procedia Computer Science 82, 115-121, 2016 | 353 | 2016 |
| A systematic machine learning based approach for the diagnosis of non-alcoholic fatty liver disease risk and progression S Perveen, M Shahbaz, K Keshavjee, A Guergachi Scientific reports 8 (1), 2112, 2018 | 98 | 2018 |
| Metabolic syndrome and development of diabetes mellitus: predictive modeling based on machine learning techniques S Perveen, M Shahbaz, K Keshavjee, A Guergachi IEEE Access 7, 1365-1375, 2018 | 90 | 2018 |
| Handling irregularly sampled longitudinal data and prognostic modeling of diabetes using machine learning technique S Perveen, M Shahbaz, T Saba, K Keshavjee, A Rehman, A Guergachi IEEE Access 8, 21875-21885, 2020 | 67 | 2020 |
| Prognostic modeling and prevention of diabetes using machine learning technique S Perveen, M Shahbaz, K Keshavjee, A Guergachi Scientific reports 9 (1), 13805, 2019 | 48 | 2019 |
| A hybrid approach for modeling type 2 diabetes mellitus progression S Perveen, M Shahbaz, MS Ansari, K Keshavjee, A Guergachi Frontiers in Genetics 10, 1076, 2020 | 21 | 2020 |
| A framework for Early Detection of Acute Lymphoblastic Leukemia and its Subtypes from Peripheral Blood Smear Images Using Deep Ensemble Learning Technique S Perveen, A Alourani, M Shahbaz, U Ashraf, I Hamid IEEE Access, 2024 | 8 | 2024 |
| Prognostic modelling and prevention of diabetes using machine learning technologies S Perveen, M Shahbaz Science Reports 24, 41598, 2019 | 4 | 2019 |
| Detection of Francisella tularensis pathogen in soil using neural networks M Shahbaz, S Parveen, F Ahmad, M Rabbani 20th International Conference on Computer, Electrical, Electronics and …, 2018 | 4 | 2018 |
Muhammad ShahbazProfessor of Computer Science, University of Engineering & Technology Lahore Pakistan在 uet.edu.pk 的电子邮件经过验证
