Swarm Intelligence and Evolutionary Machine Learning Algorithms for COVID-19

Author:

Babu C. V. Suresh1ORCID,Praveen Sam2

Affiliation:

1. Hindustan Institute of Technolgy and Science, India

2. Hindustan University, India

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.

Publisher

IGI Global

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial Intelligence in Healthcare;Perspectives on Artificial Intelligence in Times of Turbulence;2023-11-24

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