Periodontal diseases are of the common oral infectious diseases that early diagnosis is very important. This study aims to evaluate the artificial neural network role in the periodontal disease diagnosis. The Diagnostic Study were performed from periodontal disease cases in Zahedan Dentistry School in the period of time between 2015 and 2016. Clinical Indices were evaluated in these people. The feed forward artificial neural network model with propagation algorithm of Levenberg-Marquardet training function was used. Periodontal patients were divided into two groups of train (160 people), and test (30 people). The results showed that Levenberg-Marquardet algorithm with fewer iterations and a minimum mean square error and low time can used to diagnosis of periodontal disease. Therefore, artificial neural network is a good tool for diagnosing a periodontal disease

Keywords

Artificial intelligence techniques, clinical indices, oral diseases