Abstract
Brain Derived Neurotrophic Factor (BDNF) is involved Diabetes disease is associated with metabolic syndrome. Disease is mainly Type-2 Diabetes Mellitus (T2DM) parameters related to BDNF also. Today’s most people suffered Diabetes Disease. Diabetes Mellitus is a metabolic disorder. Current research is Cluster analyses of T2DM of BDNF data based on predicting the diabetes and identify patients. In this paper, Evaluated as a clustering method for the cluster regarding T2DM of BDNF dataset classifies several clusters. Data Mining is one of the primary methods in clustering. This method examines measurements based on compute minimum, maximum and average values based predict of patients. These algorithms and mathematical problems applied into dataset, evaluate Normalize data and similarity measures based on identifying accurate results. Identification of the BDNF Korley et al. (J Neurotrauma, 33(2):215–225, 2015, [1]) gene these factors help the neurological affected, Change Behavior thing and Mind Depression.
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References
Korley, F.K., Diaz-Arrastia, R., Wu, A.H.B., Yue, J.K., Manley, G T., Sair, H.I., Van Eyk, J., Everett, A.D., Okonkwo, D.O., Valadka, A.B., Gordon, W.A., Maas, A.I.R., Mukherjee, P., Yuh, E.L., Lingsma, H.F., Puccio, A.M., Schnyer, D.M.: Circulating brain derived neurotrophic factor (BDNF) has diagnostic and prognostic value in traumatic brain injury. J. Neurotrauma 33(2), 215–225 (2015)
Santhanam, T., Padmavathi, M.S.: Application of K-Means and Genetic Algorithms for Dimension Reduction by Integrating SVM for Diabetes Diagnosis. vol. 47, pp 76–83 (2015)
Srikanth, P., Anusha, C., Deveraplli, D.: A Computational Intelligence Techniques for Effective Medical Diagnosis using Decision Tree. i-Manager’s J. Comput. Sci. 21–26 (2015)
Deverapalli, D., Anusha, C.H., Srikanth, P.: Identification of Deleterious SNPs in TACR1 Gene Using Genetic Algorithm, pp. 87–97 (2015)
Bhagat, A., Kshirsagar, N., Khodke, P., Dongre, K., Ali, S.: Penalty parameter selection for hierarchical data stream clustering 79, 24–31 (2016)
Srikanth, P., Rajasekhar, N.: A novel cluster analysis for Gene-miRNA interactions documents using improved similarity measure. In: MorocMorocco, 2016 IEEE International Conference on Engineering & MIS (ICEMIS-2016), pp. 1–7 (2016)
Srikanth, P.: Clustering algorithm of novel distribution function for dimensionality reduction using big data of OMICS: Health, clinical and Biology Research Information. In: 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (2016)
Devarapalli, D., Srikanth, P., Narasinga Rao, M., Rao, V.: Identification of AIDS disease severity based on computational intelligence techniques using clonal selection algorithm. Int J Convergence Comput (IJCONVC), Inderscience Publications (2017)
Lee, T., Fu, C.P., Lee, W.J., Liang, K.W.: Brain-derived neurotrophic factor, but not body weight, correlated with a reduction in depression scale scores in men with metabolic syndrome: a prospective weight-reduction study. Diabetology Metab. Syndr. 6(18) (2014)
Boyuk, B., Degirmencioglu, S., Atalay, H., Guzel, S., Acar, A., Celebi, A., Ekizoglu, I., Simsek,C.: Relationship between Levels of Brain-Derived Neurotrophic Factor and Metabolic Parameters in Patients with Type 2 Diabetes Mellitus. J. Diabetes Res. 978143 (2014)
Singh, R.B., Takahashi, T., Tokunaga, M., Wilczynska, A., Kim, C.J., Meester, F.D., Handjieva-Darlenska, T., Cheema, S.K., Wilson, D.W., Milovanovic, B., Fedacko, J., Hristova, K., Chaves, H.: Effect of brain derived neurotrophic factor, in relation to diet and lifestyle factors, for prevention of neuropsychiatric and vascular diseases and diabetes. Open Nutraceuticals J. 7, (2014)
Devarapalli, D., Allamapparao, A.K., Sridhar, G.R.: A novel analysis of diabetes mellitus by using expert system based on brain derived neurotrophic factor (BDNF) levels. Helix 1, 251–256 (2013)
Devarapalli, D., Allamapparao, A.K., Sridhar, G.R.: A Multi-layer perceptron (MLP) neural network based diagnosis of diabetes using brain derived neurotrophic factor (BDNF) levels. Int. J. Adv. Comput. 35(12). ISSN:2051–0845
Xie, B., Pan, W., Shen, X.: Variable selection in penalized model-based clustering via regularization on grouped parameters. Biometrics 000, 000, (2007)
Ma, S., Song, X., Huang, J.: Supervised group lasso with applications to microarray data analysis. Res. Rep. (2003)
Srikanth, P., Deverapalli, D.: A critical study of classification algorithms using diabetes diagnosis. In: IEEE 6th International Conference on Advanced Computing-2016 (IACC), Feb (2016)
Garcia, S., Luengo, J., Herrera, F.: Data pre-processing in data mining. In: Intelligent Systems References Library, Series vol. 72, Springer (2015)
Deverapalli, D., Srikanth, P.: Identification of AIDS disease using Genetic Algorithm, pp. 99–111. (2015)
Hazemi, F.A., Youn, C.H., Al-Rubeaan, K.A.: Grid-Based Interactive Diabetes System, pp. 258–263. IEEE (2011)
Suh, S.C., Vudumula, G.P.: The Role of Conceptual Hierarchies in the Diagnosis and Prevention of Diabetes, pp. 267–275. IEEE (2011)
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Devarapalli, D.D., Srikanth, P. (2018). A Novel Cluster Algorithms of Analysis and Predict for Brain Derived Neurotrophic Factor (BDNF) Using Diabetes Patients. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_11
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