Dual Clustering and Data Decomposition for Nursing Care Management
Article No.: 24, Pages 1 - 6
Abstract
This paper proposes a method for construction of a clinical pathway based on dual clustering which consists of attribute and sampling clustering. The method consists of the following four steps: first, couting numbers of nursing orders of a given disease are extracted from hospital information system. Second, orders are classified into several groups by using clustering (sample clustering). Third, attributes clustering is applied to the data. Finally, original temporal data are split into several sub-tables by uisn the results of attribute clustering and the first step will be repeated in a recursive way. After the grouping results are stable, a new pathway will be constructed from all the induced results. The method was applied to a dataset of a disease extracted from a hospital information system. The results show that the proposed method constructed a clinical pathway, which was not only similar to the pathway manually acquired from medical experts but also discovered nursing orders which they forget to include.
Clustering
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- Dual Clustering and Data Decomposition for Nursing Care Management
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Published In
October 2015
381 pages
ISBN:9781450337359
DOI:10.1145/2818869
Copyright © 2015 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 07 October 2015
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