An optimization-based approach to patient grouping for acute healthcare in Australia

Title: An optimization-based approach to patient grouping for acute healthcare in Australia
Creator: Bagirov, Adil; Churilov, Leonid
Date: 2003
Type: Text; Conference paper
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/39164
Identifier: vital:1265
Identifier: https://doi.org/10.1007/3-540-44863-2_3
Abstract: 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.; E1
Publisher: Melbourne : Springer
Relation: Paper presented at Computational Science - ICCS 2003 Conference, Melbourne : 2nd June, 2003
Rights: Copyright Springer
Rights: This metadata is freely available under a CCO license
Subject: Optimisation; Health
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