Application of Big Data Analytics through Nature Inspired Computing For Covid-19 Health Care Data – a Survey

Abstract

Nowadays, Bigdata analytics is more captivating, because it helps in processing very large number of information rapidly. Due to the adoption of modern lifestyles and genetic problems, health-based problems are increasing in the current situation. In health care, Big data application includes ERH medical dataset that is in huge volume and complicated to be processed by traditional methods. Health care Data are of different types so, it is difficult to analyze extract useful information. Big data analytics is incorporated to process the data at minimal cost and save the patient’slife. Swarm Intelligence algorithm is a soft computing model with Biologically inspired algorithms that are enhanced to solve complex problems in the healthcare and engineering field at low cost and also helps to take decisions with optimal attributes. With the help of SI new models can be developed to solve big data analytics problem. Different SI algorithms are ACO, PSO, ABC, FFA, Bat, Spider, Monkey, Gray Wolf, etc. Every SI algorithm is developed depending on the population. In 2019 covid-19(Corona-virus) was announced as a widespread epidemic and because of this pandemic worldwide, 210 countries suffered. Big data, AI, NIC(Nature-inspired computing) techniques are acquired in the present scenarioto detect and create awareness among people. This paper consists of a comprehensive study of the application of Big data analytics through SI.