Title :
A Fuzzy Expert System design for diagnosis of periodontal dental disease
Author :
Allahverdi, Novruz ; Akcan, Tevfik
Author_Institution :
Electron. & Comput. Educ. Dept., Selcuk Univ., Konya, Turkey
Abstract :
The aims of the study are to design a Fuzzy Expert System (FES) for diagnosis of periodontal dental disease by analyzing diagnosis, to define treatment methods and also to develop a computer program to help dentists for investigation, diagnosis and treatment of the disease. The designed FES is expected to help dentists by facilitating their job with the most correct diagnosis and treatment method. In addition, this system increases the intervention speed by reducing time loss. The FES to be used in diagnosing periodontal disease perceives the clinical and radiographic findings and determines the severity of disease as output. Expert system (ES) includes the severity of disease and other risk factors that cannot be fuzzified, and thus determines the type of disease and treatment method as output values. Contribution of this study is to be the first work of fuzzy logic application in the area of periodontal dental disease. It has some advantages comparing with traditional diagnosis and treatment methods.
Keywords :
dentistry; diseases; fuzzy set theory; medical diagnostic computing; medical expert systems; patient diagnosis; patient treatment; computer program; disease treatment methods; fuzzy expert system design; fuzzy logic application; periodontal dental disease diagnosis; risk factors; Artificial neural networks; Diseases; Expert systems; Radio frequency; Three dimensional displays; Computer Programme; Dental Diagnosis; Dentist; Fuzzy Expert System; Treatment;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
Conference_Location :
Baku
Print_ISBN :
978-1-61284-831-0
DOI :
10.1109/ICAICT.2011.6110913