An Enhanced Approach to Detect Covid-19 Patients and Level of Infection using FSM
Nivethitha Jayakanthan, M. Manikantan, R Devi Subhashini · 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) · 2021
The present situation is this world is pathetic and very uncertain. The killer disease Covid-19 dramatically turn down the regular activities of human beings. The normal life procedure of people is impacted. The society is highly stressed. To identifying covid 19 patients and their level of infection is a challenging task. In this paper proposes a Finite State Machine based classification model to identify the covid 19 patients and their level of infections. This model will help the physicians to diagnose and treat the patients in well advance. The experimental results shows the efficiency of the proposed system.