| A systematic review on supervised and unsupervised machine learning algorithms for data science M Alloghani, D Al-Jumeily, J Mustafina, A Hussain, AJ Aljaaf Supervised and unsupervised learning for data science, 3-21, 2020 | 528 | 2020 |
| Early prediction of chronic kidney disease using machine learning supported by predictive analytics AJ Aljaaf, D Al-Jumeily, HM Haglan, M Alloghani, T Baker, AJ Hussain, ... 2018 IEEE congress on evolutionary computation (CEC), 1-9, 2018 | 127 | 2018 |
| A systematic review on the status and progress of homomorphic encryption technologies M Alloghani, MM Alani, D Al-Jumeily, T Baker, J Mustafina, A Hussain, ... Journal of Information Security and Applications 48, 102362, 2019 | 90 | 2019 |
| Predicting the likelihood of heart failure with a multi level risk assessment using decision tree AJ Aljaaf, D Al-Jumeily, AJ Hussain, T Dawson, P Fergus, M Al-Jumaily 2015 Third International Conference on Technological Advances in Electrical …, 2015 | 77 | 2015 |
| Healthcare services innovations based on the state of the art technology trend industry 4.0 M Alloghani, D Al-Jumeily, A Hussain, AJ Aljaaf, J Mustafina, E Petrov 2018 11th International Conference on Developments in eSystems Engineering …, 2018 | 73 | 2018 |
| Implementation of machine learning algorithms to create diabetic patient re-admission profiles M Alloghani, A Aljaaf, A Hussain, T Baker, J Mustafina, D Al-Jumeily, ... BMC medical informatics and decision making 19, 1-16, 2019 | 51 | 2019 |
| Toward an optimal use of artificial intelligence techniques within a clinical decision support system AJ Aljaaf, D Al-Jumeily, AJ Hussain, P Fergus, M Al-Jumaily, K Abdel-Aziz 2015 Science and Information Conference (SAI), 548-554, 2015 | 49 | 2015 |
| Evaluation of machine learning methods to predict knee loading from the movement of body segments AJ Aljaaf, AJ Hussain, P Fergus, A Przybyla, GJ Barton 2016 International Joint Conference on Neural Networks (IJCNN), 5168-5173, 2016 | 40 | 2016 |
| Implementation of machine learning and data mining to improve cybersecurity and limit vulnerabilities to cyber attacks M Alloghani, D Al-Jumeily, A Hussain, J Mustafina, T Baker, AJ Aljaaf Nature-inspired computation in data mining and machine learning, 47-76, 2020 | 36 | 2020 |
| The application of artificial intelligence technology in healthcare: a systematic review M Alloghani, D Al-Jumeily, AJ Aljaaf, M Khalaf, J Mustafina, SY Tan International conference on applied computing to support industry …, 2019 | 34 | 2019 |
| A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ AJ Aljaaf, TM Mohsin, D Al-Jumeily, M Alloghani Journal of Biomedical Informatics 118, 103766, 2021 | 29 | 2021 |
| Gamification in e-governance: Development of an online gamified system to enhance government entities services delivery and promote public's awareness M Alloghani, A Hussain, D Al-Jumeily, AJ Aljaaf, J Mustafina Proceedings of the 5th International Conference on Information and Education …, 2017 | 28 | 2017 |
| Investigating the mechanical and durability performance of cement mortar incorporated modified fly ash and ground granulated blast furnace slag as cement replacement materials AA Shubbar, D Al-Jumeily, AJ Aljaaf, M Alyafei, M Sadique, J Mustafina 2019 12th International Conference on Developments in eSystems Engineering …, 2019 | 24 | 2019 |
| An intelligent systems approach to primary headache diagnosis R Keight, AJ Aljaaf, D Al-Jumeily, AJ Hussain, A Özge, C Mallucci Intelligent Computing Theories and Application: 13th International …, 2017 | 23 | 2017 |
| Performance-based prediction of chronic kidney disease using machine learning for high-risk cardiovascular disease patients M Alloghani, D Al-Jumeily, A Hussain, P Liatsis, AJ Aljaaf Nature-inspired computation in data mining and machine learning, 187-206, 2020 | 22 | 2020 |
| Applications of machine learning techniques for software engineering learning and early prediction of students’ performance M Alloghani, D Al-Jumeily, T Baker, A Hussain, J Mustafina, AJ Aljaaf Soft Computing in Data Science: 4th International Conference, SCDS 2018 …, 2019 | 22 | 2019 |
| Prospects of machine and deep learning in analysis of vital signs for the improvement of healthcare services M Alloghani, T Baker, D Al-Jumeily, A Hussain, J Mustafina, AJ Aljaaf Nature-inspired computation in data mining and machine learning, 113-136, 2020 | 20 | 2020 |
| Application of machine learning on student data for the appraisal of academic performance M Alloghani, D Al-Jumeily, A Hussain, AJ Aljaaf, J Mustafina, E Petrov 2018 11th International conference on developments in ESystems engineering …, 2018 | 19 | 2018 |
| A Study of Data Classification and Selection Techniques to Diagnose Headache Patients DMAPJM Dr. Ahmed J. Aljaaf, Dr. Conor Mallucci, Prof. Dhiya Al-Jumeily, Dr ... Applications of Big Data Analytics: Trends, Issues, and Challenges, 121-134, 2018 | 16 | 2018 |
| A machine learning approach to measure and monitor physical activity in children P Fergus, AJ Hussain, J Hearty, S Fairclough, L Boddy, K Mackintosh, ... Neurocomputing 228, 220-230, 2017 | 16 | 2017 |
Prof Dhiya Al-Jumeily OBEliverpool john moores universityVerified email at ljmu.ac.uk
