Dental Implants Success Prediction: Tomography Based and Data Mining Based Approach.


Autoria(s): Elalaily, Abdallah
Contribuinte(s)

Gonzalo Martín, Consuelo

Menasalvas Ruiz, Ernestina

Data(s)

01/09/2013

Resumo

There are a number of factors that contribute to the success of dental implant operations. Among others, is the choice of location in which the prosthetic tooth is to be implanted. This project offers a new approach to analyse jaw tissue for the purpose of selecting suitable locations for teeth implant operations. The application developed takes as input jaw computed tomography stack of slices and trims data outside the jaw area, which is the point of interest. It then reconstructs a three dimensional model of the jaw highlighting points of interest on the reconstructed model. On another hand, data mining techniques have been utilised in order to construct a prediction model based on an information dataset of previous dental implant operations with observed stability values. The goal is to find patterns within the dataset that would help predicting the success likelihood of an implant.

Formato

application/pdf

Identificador

http://oa.upm.es/21916/

Idioma(s)

eng

Publicador

Facultad de Informática (UPM)

Relação

http://oa.upm.es/21916/1/TESIS_MASTER_ABDALLAH_ELALAILY.pdf

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Palavras-Chave #Informática #Medicina
Tipo

Tesis de Master

info:eu-repo/semantics/masterThesis

PeerReviewed