Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Network [article]

Akm Ashiquzzaman, Abdul Kawsar Tushar, Md. Rashedul Islam, Jong-Myon Kim
2017 arXiv   pre-print
Augmented accuracy in prediction of diabetes will open up new frontiers in health prognostics. Data overfitting is a performance-degrading issue in diabetes prognosis. In this study, a prediction system for the disease of diabetes is pre-sented where the issue of overfitting is minimized by using the dropout method. Deep learning neural network is used where both fully connected layers are fol-lowed by dropout layers. The output performance of the proposed neural network is shown to have
more » ... ormed other state-of-art methods and it is recorded as by far the best performance for the Pima Indians Diabetes Data Set.
arXiv:1707.08386v1 fatcat:mj72vv53ffelnje3odoqh34pdu