Volume 30, Issue 1, 2021
DOI: 10.24205/03276716.2020.2023
Using artificial intelligence to determine the patient infection time with Coronavirus and report the level of medical care needed
Abstract
The Coronavirus has rapidly spread and reached more than 200 countries, infecting several million worldwide in a few weeks. Artificial intelligence (AI) techniques have been proven useful in testing, diagnosing, and effectively reducing the spread of the virus. However, some problems or deficiencies are found in the current AI techniques. Patients are diagnosed after the emergence of symptoms; thus, deciding the necessary patient care is difficult. The intervention of doctors is compulsory, thus leading to possible infection with the virus due to direct contact with patients. The current work aims to develop AI techniques to overcome such problems. This study proposes AI capable of determining the infection time of patients with the virus and the level of medical care needed before the onset of COVID-19 symptoms. The proposed device measures many vital biological and human functions, such as the state of the brain and neurotransmitters, mental/mood conditions, tension level of face muscles, hands and body temperature, rate of pulse and pressure, oxygen level in the blood, rate of breathing and its difficulty, degree of redness of eye(s), and general body imbalances. Hardware and software designs are applied in this work. An experimental study is applied to examine, test, and evaluate the integration/work of each subsystem component and the overall system design. Results showed that the proposed system, could be used to distinguish between healthy and infected individuals before the onset of COVID-19 symptoms.
Keywords
Artificial intelligence; Coronavirus; diagnosis; time of infection; level of medical care needed