The smart computation of multi-organ spreading analysis of COVID-19 using fuzzy based logical controller

This study uses a fuzzy-based logical controller to compute the multiorgan spreading analysis of COVID-19 in a novel way. The proposed method combines the use of fuzzy logic and artificial intelligence to generate an accurate and reliable prediction system to detect the pattern of the disease. The model is able to analyze the patient’s data and predict the probability of organ involvement. The fuzzy logical reasoning system can analyze the patient’s symptoms and laboratory results and make an informed decision regarding the probability of COVID-19. The fuzzy logic-based system is also capable of recommending the best suitable treatments, preventions and preventative measures for a particular case. The proposed system is evaluated through a comprehensive experimental study using real-time data from the hospitals. The findings demonstrated the high accuracy of the suggested strategy, which may be applied to give prompt and trustworthy diagnosis and support decision-making throughout the pandemic.