使用基于支持向量机的模型评估医疗服务

Dr. Anatoli Nachev
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引用次数: 0

摘要

这篇文章提出了一个案例研究,提供访问爱尔兰医疗保健系统及其提供的服务的评估。我们利用最近的调查数据探索与未满足的卫生保健需求相关的因素。我们的方法是基于使用支持向量机来构建预测模型来分析和测量这些因素。所提出的方法在该领域是新颖的。根据获得医疗服务的行为模型,我们将因素分为三类:倾向、使能和需要,并对每一组进行分析。实验结果显示和衡量的主要原因不平衡和不平等的治疗在爱尔兰医疗保健系统今天。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Healthcare Services using Models Based on Support Vector Machines
This article presents a case study that provides assessment of access to the Irish healthcare system and the services it provides. We explore factors related to unmet heath care needs using recent survey data. Our approach is based on using support vector machines for building predictive models that analyse and measure those factors. The proposed methodology is novel for the domain. Following the behavioural model for access to medical care, we group factors into three categories: predisposing, enabling, and needs, and analyse each group. Experimental results show and measure the primary causes of imbalances and inequalities of treatment in the Irish healthcare system today.
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