A method for predicting the genetic disorder from the phenotypical appearance in human body is presented. The information is contain in the dataset and the dataset will be preprocessed to reduce noise and redundancy then the information is clustered by using K-means algorithm according to their phenotypic similarity. Each cluster will consist of phenotypically similar information which belongs to a particular genetic disease (alpha-1 antitrypsin). The main advantage is it is more suitable for large dataset. This proposed method will reduce the risk of misconception in predicting of genetic diseases. © Research India Publications.
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B. J. Bipin Nair, Bhuvana, P., and Priyanka, G., “Prediction of genetic disorder by using phenotypic and genotypic information using clustering approach”, International Journal of Applied Engineering Research, vol. 10, pp. 10783-10793, 2015.