Type 2 diabetes data classification using stacked autoencoders in deep neural networks

ConclusionA stacked autoencoders based Deep Learning framework for classification of Type 2 Diabetes data is proposed in this paper. This approach is experimented on UCI machine learning data and proved the outperformance over various existing classification methods.
Source: Clinical Epidemiology and Global Health - Category: Epidemiology Source Type: research