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Application of Genetic Algorithm (GA) in Medical Science: A Review

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Second International Conference on Sustainable Technologies for Computational Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1235))

Abstract

Medical diagnosis is the key prerequisite for any medical treatment. To get that optimized result of any diagnosis, several tests have been proposed in a cost and time-effective manner. Metaheuristic algorithms are used in many fields; especially in medical science, it has a huge impact. With the help of these algorithms, many models have been developed to get accurate results during diagnosis. In this paper, we are elaborating on the Genetic Algorithm (GA). It is a well-known metaheuristic algorithm. We categorically represent the GA applications in medical science. The genetic algorithm finds its way in different fields of medical science like Cancer Treatment, Image Segmentation, Gynecology and Obstetrics, Cardiology, Personalized Health Care, Plastic Surgery, Disease Diagnosis, Radiology, Radiotherapy, and Diabetes Prediction. We discuss how the genetic algorithm principle is successfully applied in these applications. We also try to make a comparative discussion among the selected applications on different parameters like diagnosis time, cost, and many more in a lucid manner and find the research gaps.

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Authors and Affiliations

  1. Department of Computer Science, The University of Burdwan, Burdwan, India

    Rahul Karmakar

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  1. Rahul Karmakar
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Correspondence to Rahul Karmakar .

Editor information

Editors and Affiliations

  1. The PNG University of Technology, Lae, Papua New Guinea

    Ashish Kumar Luhach

  2. CHRIST (Deemed to be University), Bangalore, India

    Ramesh Chandra Poonia

  3. University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  4. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

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Karmakar, R. (2022). Application of Genetic Algorithm (GA) in Medical Science: A Review. In: Luhach, A.K., Poonia, R.C., Gao, XZ., Singh Jat, D. (eds) Second International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1235. Springer, Singapore. https://doi.org/10.1007/978-981-16-4641-6_8

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