Intelligent systems based on loud computing for healthcare services: a survey
Alaa Mohamed Riad, Ahmed S. Salama, Ahmed Abdelaziz, Mohamed Elhoseny · International Journal of Computational Intelligence Studies · 2017
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.