首页> 外文会议>International Conference on Artificial Intelligence IC-AI'2000 Vol.2, Jun 26-29, 2000, Las Vegas, Nevada, USA >Artificial Neural Network Classification of UK Hospitals Using National Health Service Indicators
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Artificial Neural Network Classification of UK Hospitals Using National Health Service Indicators

机译:使用国家卫生服务指标对英国医院进行人工神经网络分类

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This paper presents an investigation into the use of artificial neural networks for the analysis of health information. The Kohonen Self-Organising Map technique was used to group two data sets which were produced using the UK National Health Service Indicators: the first set contained indicators reflecting measures of composition and efficiency; the second set contained indicators reflecting measures of composition, efficiency and quality. Results obtained (which were subsequently confirmed by the use of statistical tests) differed significantly from those obtained using traditional hospital grouping techniques, suggesting both that the neural network approach to classifying hospitals is valid and useful, and that existing perceptions of membership of UK hospital groups may be challenged.
机译:本文对使用人工神经网络分析健康信息进行了研究。 Kohonen自组织图技术用于对使用英国国家卫生服务指标生成的两个数据集进行分组:第一组包含反映组成和效率度量的指标;第二组包含反映组成,效率和质量的指标。获得的结果(随后通过统计测试得到证实)与使用传统医院分组技术获得的结果有显着差异,这表明神经网络方法对医院进行分类既有效又有用,并且现有对英国医院组成员身份的看法可能会受到挑战。

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