Fog computing-based intelligent healthcare system for the detection and prevention of mosquito-borne diseases

作者：

Highlights：

• A fog-based framework is designed to monitor the spreading of mosquito-borne diseases.

• Symptoms based classification is employed to differentiate mosquito-borne diseases.

• FKNN based classification approach is utilized to categorize the users into infected or uninfected class.

• Social network data is analyzed to discover risk-prone areas.

• To prevent disease outbreak, alert messages are generated to the registered users to avoid visiting risk-prone areas.

摘要

•A fog-based framework is designed to monitor the spreading of mosquito-borne diseases.•Symptoms based classification is employed to differentiate mosquito-borne diseases.•FKNN based classification approach is utilized to categorize the users into infected or uninfected class.•Social network data is analyzed to discover risk-prone areas.•To prevent disease outbreak, alert messages are generated to the registered users to avoid visiting risk-prone areas.

论文关键词：Mosquito-borne diseases,Mosquito sensors,Fog computing,Internet of things,Fuzzy k-nearest neighbor classifier,Social network analysis

论文评审过程：Received 30 March 2018, Revised 19 November 2018, Accepted 5 December 2018, Available online 6 December 2018, Version of Record 15 August 2019.

论文官网地址：https://doi.org/10.1016/j.chb.2018.12.009