A COMMONSENSE KNOWLEDGE SYSTEM BASED ON HUMAN CONSTITUENTS FOR DIAGNOSIS OF COVID-19

According Ayurvedic medical practices, a person is dominated on one of constitute type namely vata, pita or kapha. Important aspect of identification of constitute type is for diagnosis of diseases, because each of constituent type has a list of probable diseases. COVID-19 is depended on vata kapha constituent type. An important area of expertise for many physiologists is pathological assessment. At the initial stage commonsense knowledge based on human constituents is converted into a questionnaire. Removing dependencies among the questions are modelled using principal component analysis. Classification of the knowledge is processed through fuzzy logic module, which is constructed on the basis of principal components. A questionnaire has been used to capture commonsense knowledge of humans consisted of 72 questions pertaining to human constituents of vata, pita and kapha. A survey for 100 numbers of laymen for statistical modeling using the questionnaire has been conducted. Total of 25 principal components have been identified using SPSS. Possible diseases that can be happened due to predominated humeral constitution type have been observed. But system gives a chance of handling that part which enhances to measure the effect of minimum constitution type for a disease. Evaluation of commonsense knowledge system has shown 77% accuracy. The system has been reached the objectives of finding type of constituent. in percentages, dominant type of constituent for diagnosis of COVID-19. Keywords— Ayurveda Medicine, Prakriti, COVID-19, pathological assessment, Commonsense knowledge systems