William Reiser⁽¹⁾, Anita Maria da Rocha Fernandes^(2)
(1)Science Computer Course. Universidade do Vale do Itajaí - UNIVALI CTTMar - - Itajaí. Brazil
⁽²⁾CTTMar. Universidade do Vale do Itajaí - UNIVALI CTTMar - Science Computer Course - Florianópolis. Brazil

	[New Technology]	[Health Informatics]	[Odontology]

INTRODUCTION

Artificial Neural Networks have been quite used like classifiers ^(1,2,3) in biomedicine and more recently in dentistry. Among odontology areas that need the use of a classifier aid the decision make, there is dental avulsion diagnosis.

Nowadays, there are few studies based on many bibliographies that can give information about prognostic in a long space of time related to permanent teeth that were avulsioned and reimplanted. So, it´s necessary to give the information needed to the decision make in an accurate and fast way.

By the use of artificial neural networks it is possible to classify the problem (dental avulsion) aiding the dentist in the decision make, because the diagnosis will be done by the classification of many factors, that will be used like the inputs of the neural network.

RNAD is a system to aid the diagnosis of dental avulsion, working like a fast accurate classifier to help the dentist in the decision make.

Discussion Board

Any Comment to this presentation?

[ABSTRACT] [INTRODUCTION] [MATERIALS AND METHODS] [DISCUSSION AND CONCLUSION] [BIBLIOGRAPHY] [Discussion Board]

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	[New Technology]	[Health Informatics]	[Odontology]

William Reiser, Anita Maria da Rocha Fernandes
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Last update: 13/01/00