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

Elalaily, Abdallah (2013). Dental Implants Success Prediction: Tomography Based and Data Mining Based Approach.. Thesis (Master thesis), Facultad de Informática (UPM).

Description

Title: Dental Implants Success Prediction: Tomography Based and Data Mining Based Approach.
Author/s:
  • Elalaily, Abdallah
Contributor/s:
  • Gonzalo Martín, Consuelo
  • Menasalvas Ruiz, Ernestina
Item Type: Thesis (Master thesis)
Masters title: Computación Avanzada para Ciencias e Ingenierías
Date: September 2013
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 21916
DC Identifier: http://oa.upm.es/21916/
OAI Identifier: oai:oa.upm.es:21916
Deposited by: Biblioteca Facultad de Informatica
Deposited on: 12 Dec 2013 09:28
Last Modified: 18 Feb 2016 08:27
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