Abstract
One of the techniques of automated diagnostic classification, pattern recognition, was applied to the problem of classifying patients with craniofacial pain. Dental data relevant to the classification process and the automated classifier are presented. Classifier training and accuracy of the automated process are discussed.
Get full access to this article
View all access options for this article.
References
1.
Shore, N.A.
: Temporomandibular Joint Dysfunction: Etiology, Symptoms, and Management , Eye, Ear, Nose, Throat Mon
45 : 52 , 1966 .
2.
Mitchell, D.F.
;
Standish, S.M.
; and
Fast, T.B.
: Oral Diagnosis/Oral Medicine , 2 nd ed, Philadelphia : Lea & Febiger , 1971 .
3.
Mitchell, T.
: IBM 704 Medical Diagnosis Program , IRE Trans Med Electron ME
7 : 280 , 1960 .
4.
Burbank, F.
: A Computer Diagnostic System for the Diagnosis of Prolonged Undifferentiated Liver Disease , AM J Med
46 : 401 , 1969 .
5.
Nilsson, N.J.
: Learning Machines , New York : McGraw-Hill , 1965 .
