Open AccessCorona Virus Symptoms and Interpretation through Artificial Intelligence: A case study of India
Publication year - 2020
Publication title -
international journal for research in engineering application and management
Language(s) - English
Resource type - Journals
ISSN - 2454-9150
DOI - 10.35291/2454-9150.2020.0263
Subject(s) - tamil , west bengal , coronavirus , pandemic , socioeconomics , fuzzy logic , covid-19 , geography , severe acute respiratory syndrome coronavirus , interpretation (philosophy) , disease , medicine , artificial intelligence , computer science , sociology , infectious disease (medical specialty) , philosophy , linguistics , pathology , programming language
Coronavirus or COVID-19 is a new type of disease which is spreading rapidly by human contact and has been declared as a pandemic by the World Health Organization (WHO). In this paper several parameters like age, cough, cold, travel history, contact with an infected family member, breathing trouble and fever are taken into consideration for predicting the spread of this disease. A survey of one hundred people from 8 different states of India namely Maharashtra, Gujrat, Tamil Nadu, Kerala, West Bengal, Assam, Jammu & Kashmir and Himachal Pradesh have been taken into consideration, and based on those values the spread of Coronavirus in different states of India has been calculated using MATLAB fuzzy logic. Prediction of the spread of novel Coronavirus can be predicted using fuzzy logic and based on this prediction further preventive steps can be taken by the higher authorities. Conclusive result indicate that North Eastern states are less likely to be diagnosed with Coronavirus than the Western states of the country.