RESEARCHER PROFILE
Ahmed J. Aljaaf
A
University of Anbar
Ahmed J. Aljaaf works in Artificial Intelligence in Healthcare, Data Mining and Machine Learning Applications, Migraine and Headache Studies, Machine Learning in Healthcare, Mobile Health and mHealth Applications. Recorded institutional associations include University of Anbar, Liverpool John Moores University.
59Publications
1,696Citations
17H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science
2019 · 702 citationsEarly Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics
2018 · 182 citationsA systematic review on the status and progress of homomorphic encryption technologies
2019 · 119 citationsPredicting the likelihood of heart failure with a multi level risk assessment using decision tree
2015 · 78 citationsHealthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0
2018 · 69 citationsImplementation of machine learning algorithms to create diabetic patient re-admission profiles
2019 · 50 citationsToward an optimal use of artificial intelligence techniques within a clinical decision support system
2015 · 48 citationsThe Application of Artificial Intelligence Technology in Healthcare: A Systematic Review
2020 · 47 citationsImplementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks
2019 · 34 citationsEvaluation of machine learning methods to predict knee loading from the movement of body segments
2016 · 32 citationsA fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ
2021 · 31 citationsInvestigating the Mechanical and Durability Performance of Cement Mortar Incorporated Modified Fly Ash and Ground Granulated Blast Furnace Slag as Cement Replacement Materials
2019 · 26 citationsAn Intelligent Systems Approach to Primary Headache Diagnosis
2017 · 23 citationsApplications of Machine Learning Techniques for Software Engineering Learning and Early Prediction of Students’ Performance
2018 · 22 citationsProspects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services
2019 · 18 citationsPerformance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients
2019 · 18 citationsGamification in e-Governance
2017 · 17 citationsA machine learning approach to measure and monitor physical activity in children
2016 · 16 citationsApplication of Machine Learning on Student Data for the Appraisal of Academic Performance
2018 · 14 citationsData Science to Improve Patient Management System
2018 · 14 citationsA Study of Data Classification and Selection Techniques to Diagnose Headache Patients
2018 · 14 citationsNew ideas and framework for combating COVID-19 pandemic using IoT technologies
2021 · 11 citationsH-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring
2018 · 11 citationsRSM (Response Surface Methodology) Modelling of Inter-Electrodes Spacing Effects on Phosphate Removal
2021 · 10 citationsPatients Attitude to Technology
2019 · 8 citations