A Model to Predict Diabetes Based on Chromosomes Using Genetic Algorithm
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Abstract
Expert systems are interactive decision support system that are intended to support patients, physicians and other health professionals in decision making tasks with accuracy. Diabetes is a chronic illness which requires continuous medical care and patient self-management education to prevent acute complications and to decrease the risk of long-term complications. Our proposed model is for recognition of the disease based on gene variants and chromosomal regions that may have diabetes susceptibility genes by genome-wide analysis. Genetic Algorithms are considered which are based on simplified evolutionary processes using directed selection to achieve optimal decision results.