Aliaga Ignacio J, Vera Vicente, De Paz Juan F, García Alvaro E, Mohamad Mohd Saberi
Department of Conservative Dentistry, Complutense University of Madrid, Plaza Ramón y Cajal, s/n, 28040 Madrid, Spain.
Department of Computer Science and Automation, University of Salamanca, Plaza de la Merced, s/n, 37008 Salamanca, Spain.
Biomed Res Int. 2015;2015:540306. doi: 10.1155/2015/540306. Epub 2015 Mar 19.
The lifespan of dental restorations is limited. Longevity depends on the material used and the different characteristics of the dental piece. However, it is not always the case that the best and longest lasting material is used since patients may prefer different treatments according to how noticeable the material is. Over the last 100 years, the most commonly used material has been silver amalgam, which, while very durable, is somewhat aesthetically displeasing. Our study is based on the collection of data from the charts, notes, and radiographic information of restorative treatments performed by Dr. Vera in 1993, the analysis of the information by computer artificial intelligence to determine the most appropriate restoration, and the monitoring of the evolution of the dental restoration. The data will be treated confidentially according to the Organic Law 15/1999 on 13 December on the Protection of Personal Data. This paper also presents a clustering technique capable of identifying the most significant cases with which to instantiate the case-base. In order to classify the cases, a mixture of experts is used which incorporates a Bayesian network and a multilayer perceptron; the combination of both classifiers is performed with a neural network.
牙科修复体的使用寿命是有限的。其寿命取决于所使用的材料以及牙体的不同特性。然而，并非总是使用最佳且最持久的材料，因为根据材料的显眼程度，患者可能会偏好不同的治疗方法。在过去的100年里，最常用的材料是银汞合金，虽然它非常耐用，但在美观方面有些不尽人意。我们的研究基于收集维拉医生在1993年进行的修复治疗的图表、记录和放射影像信息中的数据，通过计算机人工智能对这些信息进行分析以确定最合适的修复体，并监测牙科修复体的演变情况。这些数据将根据12月13日关于个人数据保护的1999年第15号组织法进行保密处理。本文还提出了一种聚类技术，能够识别用于实例化案例库的最重要案例。为了对案例进行分类，使用了一种专家混合方法，其中包括一个贝叶斯网络和一个多层感知器；两个分类器的组合是通过神经网络进行的。
