An Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis

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 m...

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Bibliographic Details
Main Authors: Veronica I. Osubor, Moses E. Bello
Format: Article
Language:English
Published: University of Sindh 2019-02-01
Series:University of Sindh Journal of Information and Communication Technology
Subjects:
Online Access:http://sujo2.usindh.edu.pk/index.php/USJICT/article/view/222
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author Veronica I. Osubor
Moses E. Bello
author_facet Veronica I. Osubor
Moses E. Bello
author_sort Veronica I. Osubor
collection DOAJ
description 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.
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spelling doaj.art-11588c4992f04f1fb008d8f730dc0c4a2022-12-22T01:59:58ZengUniversity of SindhUniversity of Sindh Journal of Information and Communication Technology2521-55822523-12352019-02-01310106222An Adaptive Neuro Fuzzy Inference System for Diagnosing PeriodontitisVeronica I. OsuborMoses E. BelloPeriodontitis 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.http://sujo2.usindh.edu.pk/index.php/USJICT/article/view/222PeriodontitisDiagnosisANFIS
spellingShingle Veronica I. Osubor
Moses E. Bello
An Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis
University of Sindh Journal of Information and Communication Technology
Periodontitis
Diagnosis
ANFIS
title An Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis
title_full An Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis
title_fullStr An Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis
title_full_unstemmed An Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis
title_short An Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis
title_sort adaptive neuro fuzzy inference system for diagnosing periodontitis
topic Periodontitis
Diagnosis
ANFIS
url http://sujo2.usindh.edu.pk/index.php/USJICT/article/view/222
work_keys_str_mv AT veronicaiosubor anadaptiveneurofuzzyinferencesystemfordiagnosingperiodontitis
AT mosesebello anadaptiveneurofuzzyinferencesystemfordiagnosingperiodontitis
AT veronicaiosubor adaptiveneurofuzzyinferencesystemfordiagnosingperiodontitis
AT mosesebello adaptiveneurofuzzyinferencesystemfordiagnosingperiodontitis