Fuzzy logic based load balancing for an online medical consultation system

Author

Premarathne, Uthpala Subodhani ; Fengling Han ; Khalil, Issa ; Tari, Zahir

Author_Institution

Sch. of Comput. Sci. & IT, RMIT Univ., Melbourne, VIC, Australia

fYear

2013

fDate

19-21 June 2013

Firstpage

284

Lastpage

289

Abstract

The aim of a medical consultation system is to deliver reliable healthcare services efficiently. In this paper we propose an online medical consultation system with load balancing as an assurance for maximum resource utilization. Rule-based fuzzy controlled load balancing is applied to a homogeneous system consisting of three medical centers with limited capacities. Performance was comparatively analysed using three weighted rule sets. The results reveal that the load balancing accuracy vary for different rule sets. By incorporating error correction, the accuracy of adjustments is improved with an average of 96%. In conclusion, load balancing is an efficient alternative approach that can avoid possible over-crowding or underloaded situations in an online medical consultation system.

Keywords

error correction; fuzzy logic; health care; hospitals; medical computing; medical information systems; resource allocation; telemedicine; error correction; fuzzy logic based load balancing; maximum resource utilization; medical centers; online medical consultation system; over-crowding situations; reliable healthcare services; rule-based fuzzy controlled load balancing; underloaded situations; Accuracy; Error correction; Fuzzy logic; Load management; Medical diagnostic imaging; Medical services; Telemedicine;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on

Conference_Location

Melbourne, VIC

Print_ISBN

978-1-4673-6320-4

Type

conf

DOI

10.1109/ICIEA.2013.6566381

Filename

6566381