Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis

Main Article Content

Veronica I. Osubor
Moses E. Bello

Abstract

Periodontitis is a chronic inflammatory disorder that is caused by bacterial infection and leads to the destruction of the periodontium. Clinical diagnosis of periodontitis is quite difficult and most dentists’ diagnosis might be subjective. Artificial intelligence has shown commendable results in medical diagnosis. This study utilized Adaptive Neuro Fuzzy Inference System in diagnosing periodontitis. 30 data instances were used in training the model.  The system had a training error of 8.2725e-005 at epoch 1 and an average testing error of 3.1514.

Article Details

How to Cite
Veronica I. Osubor, & Moses E. Bello. (2019). Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis. University of Sindh Journal of Information and Communication Technology , 3(1), 1-6. Retrieved from https://sujo.usindh.edu.pk/index.php/USJICT/article/view/565
Section
Computer Science