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Structural analysis of treatment cycles representing transitions between nursing organizational units inferred from diabetes

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Structural analysis of treatment cycles representing transitions between nursing organizational units inferred from diabetes. / Dehmer, Matthias; Kurt, Zeyneb; Emmert-Streib, Frank; Them, Christa; Schulc, Eva; Hofer, Sabine.

In: PLoS ONE, Vol. 10, No. 6, e0127152, 01.06.2015.

Research output: Contribution to journalArticleScientificpeer-review

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Dehmer, Matthias ; Kurt, Zeyneb ; Emmert-Streib, Frank ; Them, Christa ; Schulc, Eva ; Hofer, Sabine. / Structural analysis of treatment cycles representing transitions between nursing organizational units inferred from diabetes. In: PLoS ONE. 2015 ; Vol. 10, No. 6.

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@article{cc40af4f83d942c1a452477c56c5f66b,
title = "Structural analysis of treatment cycles representing transitions between nursing organizational units inferred from diabetes",
abstract = "In this paper, we investigate treatment cycles inferred from diabetes data by means of graph theory. We define the term treatment cycles graph-theoretically and perform a descriptive as well as quantitative analysis thereof. Also, we interpret our findings in terms of nursing and clinical management.",
author = "Matthias Dehmer and Zeyneb Kurt and Frank Emmert-Streib and Christa Them and Eva Schulc and Sabine Hofer",
year = "2015",
month = "6",
day = "1",
doi = "10.1371/journal.pone.0127152",
language = "English",
volume = "10",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "6",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Structural analysis of treatment cycles representing transitions between nursing organizational units inferred from diabetes

AU - Dehmer, Matthias

AU - Kurt, Zeyneb

AU - Emmert-Streib, Frank

AU - Them, Christa

AU - Schulc, Eva

AU - Hofer, Sabine

PY - 2015/6/1

Y1 - 2015/6/1

N2 - In this paper, we investigate treatment cycles inferred from diabetes data by means of graph theory. We define the term treatment cycles graph-theoretically and perform a descriptive as well as quantitative analysis thereof. Also, we interpret our findings in terms of nursing and clinical management.

AB - In this paper, we investigate treatment cycles inferred from diabetes data by means of graph theory. We define the term treatment cycles graph-theoretically and perform a descriptive as well as quantitative analysis thereof. Also, we interpret our findings in terms of nursing and clinical management.

U2 - 10.1371/journal.pone.0127152

DO - 10.1371/journal.pone.0127152

M3 - Article

VL - 10

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 6

M1 - e0127152

ER -