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首页> 外文期刊>Biomedical Engineering: Applications, Basis and Communications >PREDICTING THE EQ-5D FROM THE PARKINSON'S DISEASE QUESTIONNAIRE PDQ-8 USING MULTI-DIMENSIONAL BAYESIAN NETWORK CLASSIFIERS
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PREDICTING THE EQ-5D FROM THE PARKINSON'S DISEASE QUESTIONNAIRE PDQ-8 USING MULTI-DIMENSIONAL BAYESIAN NETWORK CLASSIFIERS

机译：使用多维贝叶斯网络分类器从帕金森氏病问卷PDQ-8中预测EQ-5D

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摘要

The impact of the Parkinson's disease and its treatment on the patients' health-related quality of life can be estimated either by means of generic measures such as the european quality of Life-5 Dimensions (EQ-5D) or specific measures such as the 8-item Parkinson's disease questionnaire (PDQ-8). In clinical studies, PDQ-8 could be used in detriment of EQ-5D due to the lack of resources, time or clinical interest in generic measures. Nevertheless, PDQ-8 cannot be applied in cost-effectiveness analyses which require generic measures and quantitative utility scores, such as EQ-5D. To deal with this problem, a commonly used solution is the prediction of EQ-5D from PDQ-8. In this paper, we propose a new probabilistic method to predict EQ-5D from PDQ-8 using multi-dimensional Bayesian network classifiers. Our approach is evaluated using five-fold cross-validation experiments carried out on a Parkinson's data set containing 488 patients, and is compared with two additional Bayesian network-based approaches, two commonly used mapping methods namely, ordinary least squares and censored least absolute deviations, and a deterministic model. Experimental results are promising in terms of predictive performance as well as the identification of dependence relationships among EQ-5D and PDQ-8 items that the mapping approaches are unable to detect.
机译：帕金森氏病及其治疗方法对患者健康相关生活质量的影响可以通过一般措施（例如欧洲5岁以下生活质量（EQ-5D））或特定措施（例如8种）来评估项目帕金森氏病问卷（PDQ-8）。在临床研究中，由于缺乏资源，时间或对通用手段缺乏临床兴趣，PDQ-8可能会损害EQ-5D。但是，PDQ-8不能用于需要通用措施和定量效用分数的成本效益分析，例如EQ-5D。为了解决这个问题，一种常用的解决方案是从PDQ-8预测EQ-5D。在本文中，我们提出了一种使用多维贝叶斯网络分类器从PDQ-8预测EQ-5D的新概率方法。我们的方法是通过对包含488位患者的帕金森氏数据集进行的五重交叉验证实验进行评估的，并与另外两种基于贝叶斯网络的方法，两种常用的映射方法（即普通最小二乘法和删失最小绝对偏差）进行了比较，以及确定性模型。在预测性能以及确定映射方法无法检测到的EQ-5D和PDQ-8项目之间的依赖关系方面，实验结果很有希望。

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