O
Omar Hussein Salman
Researcher at Universiti Putra Malaysia
Publications - 15
Citations - 573
Omar Hussein Salman is an academic researcher from Universiti Putra Malaysia. The author has contributed to research in topics: Triage & Telemedicine. The author has an hindex of 6, co-authored 12 publications receiving 408 citations.
Papers
More filters
Journal ArticleDOI
Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related Big Data Using Body Sensors information and Communication Technology
TL;DR: A comprehensive insights into the elements of big data characteristics according to the six ‘Vs’: volume, velocity, variety, veracity, value and variability is presented and connected to a related part in the study of the connection between patient prioritisation and real-time remote healthcare monitoring systems.
Journal ArticleDOI
Systematic Review of Real-time Remote Health Monitoring System in Triage and Priority-Based Sensor Technology: Taxonomy, Open Challenges, Motivation and Recommendations
Osamah Shihab Albahri,Ahmed Shihab Albahri,K. I. Mohammed,A. A. Zaidan,B. B. Zaidan,M. Hashim,Omar Hussein Salman +6 more
TL;DR: The motivation for using triage and priority-based sensor technology in telemedicine, the issues related to the obstruction of its application and the development and utilisation of telemedICine are examined.
Journal ArticleDOI
Based on Real Time Remote Health Monitoring Systems: A New Approach for Prioritization "Large Scales Data" Patients with Chronic Heart Diseases Using Body Sensors and Communication Technology.
Naser Kalid,A. A. Zaidan,B. B. Zaidan,Omar Hussein Salman,M. Hashim,Osamah Shihab Albahri,Ahmed Shihab Albahri +6 more
TL;DR: This study provides scenarios and checklist benchmarking to evaluate the proposed and existing prioritization methods and revealed the integration of TOPSIS and MLAHP effectively and systematically solved the patient settings on triage and prioritization problems.
Journal ArticleDOI
Novel Methodology for Triage and Prioritizing Using “Big Data” Patients with Chronic Heart Diseases Through Telemedicine Environmental
TL;DR: Evaluating and scoring the big data of patients with chronic heart disease and of those who require urgent attention based on multicriteria decision making in a telemedical environment to improve the triage and prioritization processes suggested and the new method for determining the “big data” patients characteristics based on “4Vs” was suggested.
Journal ArticleDOI
Multi-Sources Data Fusion Framework for Remote Triage Prioritization in Telehealth
TL;DR: Simulation results demonstrate the superiority of the MSHA algorithm compared with conventional algorithms in terms of classify and prioritize the patients remotely, as well as the role of multi sources data fusion in the telemonitoring healthcare services systems.