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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Decision support system for predicting color change after tooth whitening
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Decision support system for predicting color change after tooth whitening

机译：预测牙齿变白后颜色变化的决策支持系统

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摘要

Tooth whitening is becoming increasingly popular among patients and dentists since it is a relatively noninvasive approach. However, the degree of color change after tooth whitening is known to vary substantially between studies. The present study aims to develop a clinical decision support system for predicting color change after in -office tooth whitening. We used the information from patients' data sets, and applied the multiple regression equation of CIELAB color coordinates including L*, a*, and b* of the original tooth color and the color difference (Delta E) that expresses the color change after tooth whitening. To evaluate the system performance, the patient's post -treatment color was used as "gold standard" to compare with the post -treatment color predicted by the system. There was a high degree of agreement between the patient's post -treatment color and the post -treatment color predicted by the system (kappa value = 0.894). The results obtained have demonstrated that the decision support system is possible to predict the color change obtained using an in -office whitening system using colorimetric values. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
机译：由于牙齿增白是相对无创的方法，因此在患者和牙医中变得越来越普遍。但是，已知牙齿变白后的颜色变化程度在研究之间有很大差异。本研究旨在开发一种临床决策支持系统，用于预测办公室牙齿增白后的颜色变化。我们使用了来自患者数据集的信息，并应用了CIELAB颜色坐标的多元回归方程，包括原始牙齿颜色的L *，a *和b *以及表示牙齿后颜色变化的色差（Delta E）美白。为了评估系统性能，将患者的治疗后颜色用作“黄金标准”，以与系统预测的治疗后颜色进行比较。患者的治疗后颜色与系统预测的治疗后颜色之间存在高度的一致性（kappa值= 0.894）。获得的结果表明，决策支持系统可以使用色度值预测使用办公室内增白系统获得的颜色变化。 （C）2015 Elsevier Ireland Ltd.保留所有权利。

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