Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis
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.
Copyright (c) 2019 University of Sindh, Jamshoro
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
University of Sindh Journal of Information and Communication Technology (USJICT) follows an Open Access Policy under Attribution-NonCommercial CC-BY-NC license. Researchers can copy and redistribute the material in any medium or format, for any purpose. Authors can self-archive publisher's version of the accepted article in digital repositories and archives.
Upon acceptance, the author must transfer the copyright of this manuscript to the Journal for publication on paper, on data storage media and online with distribution rights to USJICT, University of sindh, Jamshoro, Pakistan. Kindly download the copyright for below and attach as a supplimentry file during article submission
