Abstract
Data on medical diagnoses might be complex and challenging to interpret with conventional statistical techniques. Metaheuristic algorithms, like genetic algorithms, have been created recently to offer almost ideal solutions to challenging medical issues. Natural selection is mimicked by genetic algorithms, which are nature- inspired methods for finding the best answers to challenging issues. Although genetic algorithms are widely employed in other industries, their potential in medicine is yet largely unexplored. This article examines possible medical applications for genetic algorithms and provides a synopsis of the related research.
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