Machine Learning for Early DRG Classification

Daniel Gartner
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Daniel Gartner: Technische Universität München

Chapter Chapter 2 in Optimizing Hospital-wide Patient Scheduling, 2014, pp 9-31 from Springer

Abstract: Abstract In this chapter, a literature review of machine learning methods is provided with a special focus on attribute selection and classification methods successfully employed in health care. Similarities and differences between the machine learning methods addressed in this dissertation and the approaches available from the literature are highlighted. Afterwards, techniques for selecting relevant and non-redundant attributes for early DRG classification are presented. Finally, different classification techniques are described in detail.

Keywords: Bayesian Network; Information Gain; Classification Tree; Machine Learning Method; Classification Technique (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_2

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DOI: 10.1007/978-3-319-04066-0_2

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