Swarm Intelligence and Evolutionary Machine Learning Algorithms for COVID-19: Pandemic and Epidemic Review

Swarm Intelligence and Evolutionary Machine Learning Algorithms for COVID-19: Pandemic and Epidemic Review

C. V. Suresh Babu, Sam Praveen
DOI: 10.4018/978-1-6684-6894-4.ch005
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Abstract

Healthcare delivery makes use of cutting-edge technology like AI, IoT, big data, and machine learning to prevent and treat emerging diseases. In this chapter, the authors examine SI's crucial role in analysing, preventing, and combating the COVID-19 pandemic as well as other pandemics. They gathered the most recent data on AI for COVID-19 and evaluated it to determine if it may be used to treat this illness. They discovered seven crucial AI applications for the COVID-19 pandemic. Researchers have been working to create a variety of AI models to solve the difficulties associated with medical diagnosis, prediction, and forecasting of medical data in recent years, with the healthcare system at the forefront of research. AI techniques include SI and EA. These algorithms have sped up the development of data analytics methods due to the increased availability of healthcare data. When complex issues are solved computationally in distributed systems, the SI and EA are employed to analyse collective behaviour. Deploying derivative free optimization using SI is affordable, versatile, and reliable.
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Introduction

Problem Statement

Since COVID-19 is a recently identified infection, no known immunity exists against it in humans. Based on epidemiologic characteristics and the current situation of a surge in Covid-19 infections worldwide, it is assumed that everyone is vulnerable, albeit there may be risk factors that make people more susceptible to infection. China has made great efforts to comprehend the virus and sickness from the start of the COVID-19 pandemic. How much knowledge on a novel virus has been gathered in such a short time is astounding. Seven weeks after the outbreak started, there are still significant knowledge gaps, as with other newly emerging diseases (Cai, 2020).

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