Evolutionary Machine Learning in Medicine

Michael Adam Lones, Stephen L. Smith

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
Original languageEnglish
Title of host publicationHandbook of Evolutionary Machine Learning
PublisherSpringer
Pages591-610
Number of pages20
ISBN (Electronic)9789819938148
ISBN (Print)9789819938131
DOIs
Publication statusPublished - 2 Nov 2023

Publication series

NameGenetic and Evolutionary Computation
ISSN (Print)1932-0167
ISSN (Electronic)1932-0175

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