Application of Genetic Algorithms in medical diagnosis

Abstract

Genetic Algorithm (GA) has a number of properties that make it suitable for formalizing the uncertain information upon which medical diagnosis and treatment is usually based. Firstly, it provides a robust approach. Secondly, it uses payoff information, not other auxiliary knowledge. Finally, it searches for an individual which refers to all the concepts at the same time. This is verified by trials performed with a GA-based concept learner called GAIL, which uses GA to model the diagnostic process.