Application of K-Means and Genetic Algorithms for Dimension Reduction by Integrating SVM for Diabetes Diagnosis

AbstractVast amount of data available in health care industry is difficult to handle, hence mining is necessary to find the necessary pattern and relationship among the features available. Medical data mining is one major research area where evolutionary algorithms and clustering algorithms play a vital role. In this research work, K-Means is used for removing the noisy data and genetic algorithms for finding the optimal set of features with Support Vector Machine (SVM) as classifier for classification. The experimental result proves that, the proposed model has attained an average accuracy of 98.79% for reduced dataset of Pima Indians Diabetes from UCI repository. It also shows that the proposed method has attained better results compared to modified K-Means clustering based data preparation method with SVM classifier (96.71%) as described in the literatur

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Not AvailableDRR Dhan 55 [IET 26194(RP 5591 - 123 - 16 - 2)], an aerobic rice variety developed from MTU1010/ IR79915 - B - 83 - 4 - 3 cross combination. It was evaluated in AICRIP multi - location aerobic rice trials during wet seasons of 2016 to 2019. DRR Dhan 55 consistently out - performed the check varieties in Eastern Zone (Zone III) and Central Zone (Zone V) with a mean grain yield 4974 kg/ha, which is 15%, 19% and 18 % higher than National check, Zonal and Local checks, respectively. In addition, it exhibited moderate resistance to Leaf blast and Neck blast; and also resistance to gall midge and rice thrips; and moderate resistance to plant hoppers. DRR Dhan 55 has medium duration of 120 - 130 days (seed to seed) and possess desirable grain and cooking quality parameters. It was released for cultivation in aerobic ecosystems of Bihar (Zone III) and Chhattisgarh (Zone V) states through Central Sub - committee on Crop Standards, Notification and Release of Varieties for Agricultural Crops vide S.O. 500(E) dt. 29th Jan 2021[CG - DL - E - 03022021 - 224901]Not Availabl