Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control

作者：

Highlights：

• Medical service delivery using Internet of Things (IoT) technology over fog-cloud paradigm is an efficient solution for remote patient surveillance.

• For management of COVID-19 infected people, a framework based on body-wearable sensor technologies is presented.

• The current research reduces COVID-19 from spreading. The J48 decision tree assesses a user’s infection degree.

• RFID is used to detect Temporal Proximity Interactions (TPI) among users.

摘要

•Medical service delivery using Internet of Things (IoT) technology over fog-cloud paradigm is an efficient solution for remote patient surveillance.•For management of COVID-19 infected people, a framework based on body-wearable sensor technologies is presented.•The current research reduces COVID-19 from spreading. The J48 decision tree assesses a user’s infection degree.•RFID is used to detect Temporal Proximity Interactions (TPI) among users.

论文关键词：COVID-19,Intelligent framework,Temporal analysis,Self organized mapping

论文评审过程：Received 14 December 2021, Revised 19 March 2022, Accepted 22 March 2022, Available online 26 March 2022, Version of Record 26 March 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102288