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An Optimization-Based Approach to Patient Grouping for Acute Healthcare in Australia

机译:基于优化的澳大利亚急性医疗患者分组方法

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摘要

The problem of cluster analysis is formulated as a problem of nonsmooth, nonconvex optimization, and an algorithm for solving the cluster analysis problem based on the nonsmooth optimization techniques is developed. The issues of applying this algorithm to large data sets are discussed and a feature selection procedure is demonstrated. The algorithm is then applied to a hospital data set to generate new knowledge about different patterns of patients resource consumption.
机译:将聚类分析问题表述为非光滑,非凸优化问题,并开发了一种基于非光滑优化技术的聚类分析算法。讨论了将该算法应用于大型数据集的问题,并演示了特征选择过程。然后将该算法应用于医院数据集,以生成有关患者资源消耗不同模式的新知识。

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