| 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 | 532 | 2020 |
| Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics MJ Kaky A., Al-Jumeily D., Haglan H, Alloghani M., Baker T., Hussain A. 2018 IEEE Congress on Evolutionary Computation (CEC), 2018 | 129 | 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 |
| 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 |
| Technology Acceptance Model for the Use of M-Health Services among health related users in UAE M Alloghani, A Hussain, D Al-Jumeily, O Abuelma'atti 2015 International Conference on Developments of E-Systems Engineering (DeSE …, 2015 | 64 | 2015 |
| 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 |
| Security challenges in the industry 4.0 era MM Alani, M Alloghani Industry 4.0 and engineering for a sustainable future, 117-136, 2019 | 49 | 2019 |
| A mobile health monitoring application for obesity management and control using the internet-of-things M Alloghani, A Hussain, D Al-Jumeily, P Fergus, O Abuelma'Atti, ... 2016 Sixth International Conference on Digital Information Processing and …, 2016 | 41 | 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 |
| Dhiya Al-Jumeily, Jamila Mustafina, Abir Hussain, and Ahmed J. Aljaaf. A systematic review on supervised and unsupervised machine learning algorithms for data science M Alloghani Supervised and unsupervised learning for data science, 3-21, 2020 | 31 | 2020 |
| 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 Alloghani, M., Hussain, A., Al-Jumeily, D., Aljaaf, A.J., Mustafina J. ACM International Conference Proceeding Series, 2017 | 28* | 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 |
| An application of using support vector machine based on classification technique for predicting medical data sets M Khalaf, AJ Hussain, O Alafandi, D Al-Jumeily, M Alloghani, M Alsaadi, ... Intelligent Computing Theories and Application: 15th International …, 2019 | 20 | 2019 |
| 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 AJ Aljaaf, C Mallucci, D Al-Jumeily, A Hussain, M Alloghani, J Mustafina Applications of big data analytics: Trends, issues, and challenges, 121-134, 2018 | 16 | 2018 |
| Data science to improve patient management system M Alloghani, AJ Aljaaf, D Al-Jumeily, A Hussain, C Mallucci, J Mustafina 2018 11th international conference on developments in eSystems engineering …, 2018 | 15 | 2018 |
Prof Dhiya Al-Jumeily OBEliverpool john moores universityПодтвержден адрес электронной почты в домене ljmu.ac.uk
