Prediction of Gum Disease Severity on the basis of Symptoms and Risk factors using Neural Network

Volume: 4    Issue: 1

Year of Publication: 2017

Pages: (1-5)

Authors: Komal Golimbade, Archana Augustine

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Abstract

Keeping an eye on human health is always been a tedious task. As this process needs iterative Analysis of health factors. Dental diseases are born due to most primitive reasons that cannot be expected in most of the normal scenarios of day to day life. So task of identifying dental diseases with day to day data is again challenging task. Many systems are proposed to predict dental diseases like gum diseases but most of them are merely yield approximation for the prediction. so an urge of system for gum disease prediction is existed like never before. so proposed system puts forwards an idea of gum disease prediction based on the symptoms and risk factor of the disease. This involves clustering process through k-means algorithm, this clusters are feed to Baum Welch algorithm for the detection of the hidden state and this is been powered with dempster-shafer theory for the detection of gum disease.

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Keywords

Gum Disease, Neural Network, Baum-Welth algorithm, Dampster-Shafer Theory, Clustering.