Abstract
Artificial intelligence has surged into human lives as an important requirement since the start of twenty-first century. Artificial intelligence (AI) can be understood as replications of human intelligence in systems that can be devised to ‘think and act’ like humans. Machine learning refers to the concept of programs or applications that ‘learn’ automatically and adapt fresh data without human support and is a subset of AI. One of the imperative areas in AI is distributed artificial intelligence (DAI) where complex problems can be dealt with the concept of multi-agent systems (MAS). MAS have become a bridge to come over difficult tasks and to bring out the best possible solution(s). Healthcare data is a domain of data science and can be considered as one of the most dynamically generated data. Multi-agent systems in healthcare data are the best combination possible to utilize the advantages that are available in both the sub-fields. Different diseases can be addressed through division of the task(s) as per the norms of MAS. Best results can be obtained here, and it can be truly helpful for the society and mankind. This chapter focuses on the applications that are possible through MAS in health care. Basics, important issues and algorithms are dealt with here in a comprehensible manner, and it is believed that the contents of this chapter can be immensely useful to the experts, researchers, data scientists, medicos and of course, to the society.
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Bhanu Sridhar, M. (2022). Applications of Multi-agent Systems in Intelligent Health Care. In: Gupta, S., Banerjee, I., Bhattacharyya, S. (eds) Multi Agent Systems. Springer Tracts in Human-Centered Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-0493-6_8
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DOI: https://doi.org/10.1007/978-981-19-0493-6_8
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