Symptom & risk factor based diagnosis of Gum diseases using neural network

Gum diseases have multiple symptoms and risk factors are evolving. So Gum diseases are complex because multiple symptoms & risk factor affect the tooth loss in adults. Early prediction of gum disease helps to cure the tooth loss problem. Artificial Intelligent techniques are indeed worth exploring for diagnosis & prediction of complex medical problems. The aim of this paper is to determine a noninvasive method to detect whether a patient is suffered from gum disease. The problem addressed in this paper is prediction of possibility of periodontal and gingivitis gum disease and it is estimated from symptoms and risk factors given by the patients. A feed forward neural network with back propagation was used for prediction of gum disease.