Poster | 6th Internet World Congress for Biomedical Sciences |
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
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Contact address: |
William Reiser Science Computer Course Universidade do Vale do Itajaí - UNIVALI CTTMar - Curso de Ciências da Computação CTTMAr - UNIVALI Itajaí Santa Catarina Brazil anita@eps.ufsc.br |
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[New Technology]![]() |
[Health Informatics]![]() |
[Odontology]![]() |
The goal of this paper isto present RNAD - Artificial Neural Network to Aid Dental Avulsion Diagnosis. This neural network uses backpropagation algorithm and had been developed using MATLAB. The system user´s interface was developed using Delphi. The goal of this neural network is to classify dental avulsion problem in favorable or unfavorable to reimplant, aiding the dentist in the decision make.
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[New Technology]![]() |
[Health Informatics]![]() |
[Odontology]![]() |