… The use of the genetic algorithm has promising implications in various medical … the genetic
algorithm in disease screening, diagnosis, treatment planning, pharmacovigilance, prognosis, …

… Furthermore, we noticed a significant advantage of genetic algorithm optimized ANN over
general ANN in the performance of prediction and modeling duration. The prediction accuracy …

… In this paper, a k-Nearest-Neighbors technique, for which a genetic algorithm is applied
for the efficient feature selection to reduce the dataset dimensions and enhance the classifier …

… Integrated approach of Genetic Algorithm and Adaptive Boosting is used for performance
evaluation for prediction of disease. Genetic algorithm is used as attribute selector to decrease …

… of biometric measurement and diagnosis during the ultrasound (… algorithms for the automatic
fetal development measurement, a new algorithm known as Neuro-Fuzzy based on genetic …

… prognostic parameters. This paper presents the results of research in automating prognostic
… used, including the GPM prognostic model and Genetic Algorithms method of optimization. …

… learning and chance of misclassifications, the proposed diagnosis system efficiently search
the significant boundary features by genetic algorithm and feed them to the adaptive neuro-…

Objective (s): This study addresses feature selection for breast cancer diagnosis. The
present process uses a wrapper approach using GA-based on feature selection and PS-classifier. …

… Genetic algorithms (GA) are some of the fault diagnostic techniques. The Model based
techniques utilize physical and explicit mathematical models of the monitoring machine. Based …

… In this study, genetic algorithm optimized deep neural network is exploited to … prognostic
factors are screened by Relief algorithm and Cox proportional risk regression. FTD prognostic …