Main Article Content
In this research, a prediction system is developed for the illness of diabetes and dropout strategy is made use to minimize the issues of overfitting. The key idea is arbitrarily drop unit from neural network during preparing. Expectation of blood glucose levels Measured by continuous glucose observing gadgets, by utilizing clinical information. The certain rate of a patients in the data set take as a training data and test on the left-over portion of the patients, i.e., the machine need not re-calibrate on other patients in the data set.
How to Cite
, A. D. S. D. D. V. P. K. R. (2018). A Review on Predictive Analysis for Diabetic Blood Glucose and Reductionof over fitting inDiabetes using Deep Learning Neural Network. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(4), 747–750. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1605