Mobile cloud computing based stroke healthcare system
作者:
Highlights:
• The study suggests a relevant solution that is Knowledge-based Oriented Stroke Diagnosis Healthcare Application for cardioembolic/cryptogenic stroke patients.
• The study includes big data application, supported by ANN, it has been used on all mobile phone running Android OS with cloud computing for the first time concerning Stroke dataset.
• The proposed system will enhance accessibility to accurate health data and analysis for the patients,
• The system will also improve the accuracy rate since classification is performed by ANN clustering affordance.
• The system will serve to provide economic benefits since the information is accessed directly through mobile system of the user.
• Overall, the life quality of the Stroke patients will increase as a result of using the proposed novel system.
摘要
•The study suggests a relevant solution that is Knowledge-based Oriented Stroke Diagnosis Healthcare Application for cardioembolic/cryptogenic stroke patients.•The study includes big data application, supported by ANN, it has been used on all mobile phone running Android OS with cloud computing for the first time concerning Stroke dataset.•The proposed system will enhance accessibility to accurate health data and analysis for the patients,•The system will also improve the accuracy rate since classification is performed by ANN clustering affordance.•The system will serve to provide economic benefits since the information is accessed directly through mobile system of the user.•Overall, the life quality of the Stroke patients will increase as a result of using the proposed novel system.
论文关键词:Stroke,Mobile Cloud Computing,Android,Multilayer Perceptron,Medical support healthcare system
论文评审过程:Received 15 November 2017, Revised 15 September 2018, Accepted 24 September 2018, Available online 12 October 2018, Version of Record 13 March 2019.
论文官网地址:https://doi.org/10.1016/j.ijinfomgt.2018.09.012