Fuzzy Rule Based System to predict COVID19 - A Deadly Virus
- 1. Research Scholar, Gurukul Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India.
- 2. Research Scholar, Uttarakhand Technical University, Uttarakhand, India.
- 3. Assistant Professor, Gurukul Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India.
- 4. Associate Professor, Gurukul Kangri Vishwavidyalaya,Haridwar, Uttarakhand, India.
Contributors
- 1. Publisher
Description
Around four lakh confirmed cases and more than one lakh eighty nine thousand death worldwide due to a virus called Coronavirus causing a respiratory disease “COVID19” were registered from 1st December 2019 to 25th March 2020 and it has been declared as pandemic by World Health Organization. This paper proposed a fuzzy rule based system which is used with MATLAB tools for simulations to give predictions related to whether one is suffering from Covid19 or not. At present, the testing kits of Covid19 are very limited and they take lot of time to give results but our proposed system can be used in initial predictions, which can save both time and money. This system is based on fifteen rules developed on the basis of guidelines given by World Health Organization and other Health agencies. The results given by the system are very promising and can be used to prevent testing and save time which is very crucial to save life of one and stop it from spreading further.
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- Journal article: 2394-0913 (ISSN)
Subjects
- ISSN
- 2394-0913
- Retrieval Number
- H0781044820//2020©BEIESP