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Metaheuristic Algorithm’s Role in Medical Care and Diagnostics

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Machine Learning and Metaheuristics: Methods and Analysis

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Metaheuristics is a strong optimisation tool that is currently being utilised more widely across medical disciplines to solve health-related optimisation issues. It can provide practical solutions to currently trending challenges in healthcare data to identify problems more effectively and efficiently than earlier approaches. Medical information from hospital databases and public health datasets are used to analyse anomalies via Internet of medical things and obtained large data is optimised using a metaheuristic search technique. A classified list of over a hundred metaheuristic algorithms was present to tackle any feature selection issues, and some recent variations of metaheuristic algorithms were also available to generate optimal feature subset using various methods. Nature-inspired metaheuristic algorithms are one of the sub-category in metaheuristic algorithms that was mostly demonstrated to be very flexible and effective in tackling complex optimisation issues in medical research. For improved performance, it is a standard practise to hybridise metaheuristics with another suitable algorithm. The fundamental purpose is to demonstrate the investigator’s contributions by presenting their methods for predicting illnesses and solving health-related concerns utilising the metaheuristic approaches. Subsequently, their research can be compared and assessed using reliable, precise, specific, sensitive and other metrics to assist researchers in selecting the best field and techniques to anticipate ailments in the near future.

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Authors and Affiliations

  1. School of Dentistry and Medical Sciences, Charles Sturt University, Orange, NSW, Australia

    Kiran Sharma

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  1. Kiran Sharma
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Correspondence to Kiran Sharma .

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Editors and Affiliations

  1. Muffakham Jah College of Engineering and Technology, Hyderabad, Telangana, India

    Uma N. Dulhare

  2. Faculty of Computers and Information, Minia University, Minia, Egypt

    Essam Halim Houssein

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Sharma, K. (2023). Metaheuristic Algorithm’s Role in Medical Care and Diagnostics. In: Dulhare, U.N., Houssein, E.H. (eds) Machine Learning and Metaheuristics: Methods and Analysis. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-6645-5_13

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