Omar Hussein Salman

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.

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.

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.

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.

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.