Title: Intelligent systems based on loud computing for healthcare services: a survey

Authors: Mohamed Elhoseny; Ahmed S. Salama; Ahmed Abdelaziz; A.M. Riad

Addresses: Faculty of Computers and Information Sciences, Mansoura University, Egypt ' Computer and Information Systems Department, Sadat Academy for Management Sciences, Cairo, Egypt ' Department of Information Systems, Higher Technological Institute Cairo, Egypt ' Faculty of Computers and Information Sciences, Mansoura University, Egypt

Abstract: Cloud computing plays an important role in healthcare services (HCS) due to its the ability to retrieve patients' data, diagnosis of diseases and other medical fields in less time and less cost. This paper presents a survey of intelligent systems based on cloud environment for HCS. It reviews the uses of intelligent techniques such as genetic algorithm (GA), particle swarm optimisation (PSO) and parallel particle swarm optimisation (PPSO) on cloud computing environment to enhance task scheduling, reduce execution time of requests from stakeholders (patients, doctors, nurses, e.g.) and maximise of resources utilisation on clouds. This paper presents evaluation criteria of selected researches based on accuracy, usability, agility and applied method. Selected researches in this field were reviewed, analysed, summarised and compared according to the used intelligent techniques in cloud computing, healthcare systems and the concluded results. This paper also proposes architecture for intelligent healthcare systems based on cloud computing environment.

Keywords: cloud computing; GA; particle swarm optimisation; PSO; parallel particle swarm optimisation; PPSO; healthcare services; HCS.

DOI: 10.1504/IJCISTUDIES.2017.089052

International Journal of Computational Intelligence Studies, 2017 Vol.6 No.2/3, pp.157 - 188

Received: 03 Feb 2017
Accepted: 26 Jun 2017

Published online: 29 Dec 2017 *

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