Evolutionary Machine Learning in Medicine

Authors: Lones, Michael;

Smith, Stephen L.

Source: Handbook of Evolutionary Machine Learning . Genetic and Evolutionary Computation

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: https://doi.org/10.1007/978-981-99-3814-8_20

Abstract

This chapter reviews applications of evolutionary machine learning within the medical domain. It is divided into three parts. The first two parts give examples of recent work in two important and representative diseases, cancer and COVID-19, showing how evolutionary methods can be applied to diverse tasks in diagnosis, epidemiological modelling, and the design of drug interventions and treatment plans. The third part presents a case study of our own work within the area of Parkinson’s disease, demonstrating how an evolutionary machine learning approach has been successfully translated and applied within clinical settings.

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Lones, M. & Smith, S. 2023, 'Evolutionary Machine Learning in Medicine', Handbook of Evolutionary Machine Learning . Genetic and Evolutionary Computation. https://doi.org/10.1007/978-981-99-3814-8_20

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DOI: https://doi.org/10.1007/978-981-99-3814-8_20

Repository URI: https://researchportal.hw.ac.uk/en/publications/36b8ddae-c33d-4fc2-90d6-5db01e052ed8