Experimental Analyses

Daniel Gartner
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Daniel Gartner: Technische Universität München

Chapter Chapter 4 in Optimizing Hospital-wide Patient Scheduling, 2014, pp 55-92 from Springer

Abstract: Abstract The structure of this chapter is as follows: In the first section, a thorough analysis of the presented machine learning methods for early DRG classification and its comparison with a DRG grouper is provided. In the second section, a computational and economic analysis of scheduling the hospital-wide patient flow of elective patients is given.

Keywords: Classification Accuracy; Machine Learning Method; Admission Diagnosis; Attribute Selection; Misclassification Cost (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-319-04066-0_4

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DOI: 10.1007/978-3-319-04066-0_4

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