Kannadasan K , Damodar Reddy Edla, Venkatanareshbabu Kuppili

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Type 2 diabetes data classification using stacked autoencoders in deep neural networks Kannadasan K , Damodar Reddy Edla, Venkatanareshbabu Kuppili Clinical Epidemiology and Global Health DOI: 10.1016/j.cegh.2018.12.004 Copyright © 2018 INDIACLEN Terms and Conditions

Fig. 1 An autoencoder with hidden layer consists of encoder and decoder. Clinical Epidemiology and Global Health DOI: (10.1016/j.cegh.2018.12.004) Copyright © 2018 INDIACLEN Terms and Conditions

Fig. 2 An autoencoder block consists of encoder and decoder. Clinical Epidemiology and Global Health DOI: (10.1016/j.cegh.2018.12.004) Copyright © 2018 INDIACLEN Terms and Conditions

Fig. 3 Stacked autoencoder with L layers. Clinical Epidemiology and Global Health DOI: (10.1016/j.cegh.2018.12.004) Copyright © 2018 INDIACLEN Terms and Conditions

Fig. 4 A DNN framework with stacked autoencoder cascaded with softmax layer. Clinical Epidemiology and Global Health DOI: (10.1016/j.cegh.2018.12.004) Copyright © 2018 INDIACLEN Terms and Conditions

Fig. 5 (a) Network of autoencoder 1 (b) Network of autoencoder 2 (c) Softmax classifier (d) DNN. Clinical Epidemiology and Global Health DOI: (10.1016/j.cegh.2018.12.004) Copyright © 2018 INDIACLEN Terms and Conditions

Fig. 6 Simulation of DNN Clinical Epidemiology and Global Health DOI: (10.1016/j.cegh.2018.12.004) Copyright © 2018 INDIACLEN Terms and Conditions