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A Model to Predict Diabetes Based on Chromosomes Using Genetic Algorithm


 

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. 


Keywords

Chromosomes, Diabetes, Diagnosis, Genetic Algorithm, Intelligence
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  • A Model to Predict Diabetes Based on Chromosomes Using Genetic Algorithm

Abstract Views: 127  |  PDF Views: 2

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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. 


Keywords


Chromosomes, Diabetes, Diagnosis, Genetic Algorithm, Intelligence