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Best Definitions of Multimorbidity to Identify Patients Wit..:

Aubert, C.E ; Schnipper, J.L ; Roumet, M...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mayocpiqo.2019.09.002. , 2020

Link: https://serval.unil.ch/notice/serval:BIB_02162AF0CDDB

RT Journal
T1 <Title>Best Definitions of Multimorbidity to Identify Patients With High Health Care Resource Utilization</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivlausanne:oai:serval.unil.ch:BIB_02162AF0CDDB&Exemplar=1&LAN=DE
				
A1 Aubert, C.E
A1 Schnipper, J.L
A1 Roumet, M
A1 Marques-Vidal, P
A1 Stirnemann, J
A1 Auerbach, A.D
A1 Zimlichman, E
A1 Kripalani, S
A1 Vasilevskis, E.E
A1 Robinson, E
A1 Fletcher, G.S
A1 Aujesky, D
A1 Limacher, A
A1 Donzé, J
YR 2020
K1 AUC
K1 area under the receiver operating characteristic curve
K1 CCI
K1 Chronic Condition Indicator
K1 CCS
K1 Clinical Classification Software
K1 ICD
K1 International Classification of Diseases
K1 IQR
K1 interquartile range
K1 LOS
K1 length of stay
K1 NICE
K1 National Institute for Health and Care Excellence
K1 WHO
K1 World Health Organization
JF info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mayocpiqo.2019.09.002
LK http://dx.doi.org/https://serval.unil.ch/notice/serval:BIB_02162AF0CDDB
DO https://serval.unil.ch/notice/serval:BIB_02162AF0CDDB
SF ELIB - SuUB Bremen

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