Topic

Ragheb Al-Nammari

Also published under:Ragheb H. Al Nammari

Affiliation

Department of Industrial and Systems Engineering, Khalifa University of Science and Technology, Abu Dhabi, UAE

Topic

Healthcare Organizations,Learning Algorithms,Safety Culture,Adverse Events,Artificial Intelligence Applications,Artificial Intelligence In Healthcare,Artificial Intelligence Technology,Convolutional Neural Network,Data Privacy,Decision-making,Drivers Of Engagement,Error Metrics,Gradient Boosting,Health Administration,Health Sector,Healthcare Applications,Importance Of Factors,Important Characteristics,Incident Reports,Involvement Of Staff,Job Satisfaction,Low- And Middle-income Countries,ML Models,Machine Learning,Mean Relative Error,Medical Data,Medication Errors,Mobile Health Technology,National Health Service,Number Of Trees,Organizational Culture,Organizational Engagement,Organizational Factors,Patient Safety,Patient Safety Culture,Prediction Model,Promote Patient Safety,Quality Of Care,Random Forest,Recurrent Neural Network,Regression Tree,Relative Importance Of Factors,Sepsis Shock,Septic Shock,Skin Temperature,Staff Engagement,Support Vector Machine,Survey Data,Teamwork,Technology Management,

Biography

Ragheb H. AlNammari received a B.Sc. degree in mechanical engineering from Jordan University of Science and Technology, Irbid, Jordan, in 2016 and an M.Sc. degree in engineering systems and management from Khalifa University of Science and Technology, Abu Dhabi, UAE, in 2021.
He is currently working as an IT Functional Consultant in UAE. His research interest is mainly in using machine learning algorithms for data analysis, including descriptive, and predictive analysis.
Mr. AlNammari is a member of the Jordanian Engineering Association.