Cloud-Fog based HealthCare Framework to Identify and Prevent Dengue Fever Outbreak
Chandhan Kumar Roy, Ritesh Sadiwala · 2021 International Conference on Emerging Smart Computing and Informatics (ESCI) · 2021
Increases of medical equipment, monitoring and tracking also contributed to immense amounts of personal details. These tangible effects promote the usage of fog as a middle layer among data collection and cloud subsystem to recognize the occurrence of Dengue fever (DF) and to also generate real-time alerts in time to users. The primary goal of this intelligent device is to identify and overcome the diseases that are caused because of mosquitoes. For this, we use wearable sensors along with required hardware resources. The sensors then collect the required data and sent to fog gateway which can be available to the healthcare centers and users. We will have unified Bilateral-Branch Network (BBN) representation and classifier learning, where each branch will provide its own separate feature. It is easier to define the current global patterns first and subsequently pay close attention to the less general information. Also, using Global Positioning System (GPS) which is a helpful feature as it will reduce people's vulnerability by helping them re-direct pathways and gives warnings to people who are not infected.