An intelligent healthcare system for predicting and preventing dengue virus infection
نویسندگان
چکیده
Dengue is a mosquito-borne pandemic viral infection, which transmits to humans from Female Aedes albopictis or agypti mosquitoes. It progressively deteriorates the health of infected individuals and poses high threat human morbidity mortality. This paper proposes an intelligent healthcare system identifies, monitors, alerts dengue virus (DeV) other stakeholders in real-time control DeV infection outbreak using cloud computing, internet things fog computing paradigms. The proposed uses Naive Bayesian Network (NBN) for diagnosing possibly generating suggesting alerting concerned taking on-time necessary actions at subsystem. also Social Analysis subsystem, provide Global Positioning Systems (GPS)-based global risk assessment on Google Maps (Google-based web map service) outbreak. analysis experimental results acknowledges efficiency NBN-based diagnosis, alert generation, GPS-based functionality, system, via various statistical measures approaches.
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ژورنال
عنوان ژورنال: Computing
سال: 2021
ISSN: ['0010-485X', '1436-5057']
DOI: https://doi.org/10.1007/s00607-020-00877-8