TIS COVID-19: Telemonitoring Intelligent System for COVID-19

Abstract

During the COVID-19 pandemic, AI technology has emerged strongly to contribute to improving the healthcare sector and fighting this virus. In this thesis, we present « TIS COVID-19 », a smart system for telemonitoring and diagnosing people from home, to relieve pressure on hospitals and medical clinics and reduce the spread of infection. The system contains a wearable, mobile application, and web application. The wearable will collect the citizen‟s vital signs, and send them to the mobile application using IoT technology. To give more accurate information, the citizen can express his physical feelings using the vocal mode. The mobile application will analyze all this information using NLP and ML technologies, and then evaluates the diagnostic results depending on the gravity of the citizen‟s state, to give him the correct instructions he must follow. In dangerous state cases, the application will contact the citizen's caretakers and personal doctors or send an ambulance request to the nearest hospital. To be more practical, the doctors and hospitals will use the web application that will be managed by the admin. The whole system is developed in Python, Java, and PHP programming languages, using Android Studio, Sublime text, and PyCharm IDEs, Android framework for the mobile application and Laravel for the web application.