IoT & AI Enabled Three-Phase Secure and Non-Invasive COVID 19 Diagnosis System

• DOI: 10.32604/cmc.2022.020238
• Publication Date: 2021-11-03T02:43:52Z
• Authors: Muneeb Ur Rehman; Fawad Ahmed; Muhammad Attique ...; Usman Tariq; Faisal Abdulaziz ...; Nouf M. Alzahrani; Jawad Ahmad
• Keywords: Pandemic; Vital signs

Corona is a viral disease that has taken the form of an epidemic and causing havoc worldwide after its first appearance in Wuhan state China December 2019. Due to similarity initial symptoms with fever, it challenging identify this virus initially. Non-detection at early stage results death patient. Developing densely populated countries face scarcity resources like hospitals, ventilators, oxygen, healthcare workers. Technologies Internet Things (IoT) artificial intelligence can play vital role diagnosing COVID-19 stage. To minimize spread pandemic, IoT-enabled devices be used collect patient's data remotely secure manner. Collected analyzed through deep learning model detect presence virus. In work, authors have proposed three-phase diagnose covid-19 by incorporating chatbot, IoT, technology. phase one, artificially assisted chatbot guide individual asking about some common symptoms. case detection even single sign, second diagnosis considered, consisting using thermal scanner pulse oximeter. high temperature low oxygen saturation levels, third will recommended, where chest radiography images AI-based human body. The reduces intervention chatbot-based screening, sensor-based IoT devices, learning-based X-ray analysis. It also helps reducing mortality rate detecting