Abstract
The COVID-19, Coronavirus Disease 2019, emerged as a hazardous disease that led to many causalities across the world. Early detection of COVID-19 in patients and proper treatment along with awareness can help to contain COVID-19. Proposed Fuzzy Cloud-Based (FCB) COVID-19 Diagnosis Assistant aims to identify the patients as confirmed, suspects, or suspicious of COVID-19. It categorized the patients into four categories as mild, moderate, severe, or critical. As patients register themselves online on the FCB COVID-19 DA in real-time, it creates the database for the same. This database helps to improve diagnostic accuracy as it contains the latest updates from real-world cases data. A team of doctors, experts, consultants are integrated with the FCB COVID-19 DA for better consultation and prevention. The ultimate aim of this proposed theory of FCB COVID-19 DA is to take control of COVID-19 pandemic and de-accelerate its rate of transmission among the society.
【저자키워드】 COVID-19, cloud computing, MCDM, Fuzzy set theory, Diagnosis assistant, 【초록키워드】 Treatment, COVID-19 pandemic, diagnostic, Transmission, database, Accuracy, Early detection, Patient, Mild, disease, Critical, moderate, help, IMPROVE, identify, the patient, category, COVID-19 in patient, 【제목키워드】 COVID-19 diagnosis, assistant, affected,