Patients' admissions in intensive care units: A clustering overview

doi:10.1109/CBI.2016.48

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/52196

Título:	Patients' admissions in intensive care units: A clustering overview
Autor(es):	Ribeiro, Ana Portela, Filipe Santos, Manuel Filipe Machado, José Manuel Abelha, António Rua, Fernando
Palavras-chave:	Admissions Clustering Data mining INTCare Intensive care
Data:	9-Set-2016
Editora:	Institute of Electrical and Electronics Engineers Inc.
Revista:	Conference on Business Informatics
Citação:	Ribeiro, A., Portela, F., Santos, M. F., Machado, J., Abelha, A., & Rua, F. (2016, August). Patients' Admissions in Intensive Care Units: A Clustering Overview. In Business Informatics (CBI), 2016 IEEE 18th Conference on (Vol. 2, pp. 38-44). IEEE
Resumo(s):	Intensive Care is one of the most critical areas ofmedicine. Its multidisciplinary nature makes it a very wide area, requiring all types of healthcare professionals. Given the criticalenvironment of intensive care units, it becomes evident the need touse technology of decision support systems to improve healthcareservices and Intensive Care Units management. By discovering thecommon characteristics of the admitted patients it is possible toimprove these outcomes. In this study clustering techniques wereapplied to data collected from admitted patients in Intensive CareUnit. The best results presented a Silhouette of 1, with a distance tocentroids of 6.2e-17 and a Davies-Bouldin index of -0.652.
Tipo:	Artigo em ata de conferência
URI:	https://hdl.handle.net/1822/52196
ISBN:	9781509032310
DOI:	10.1109/CBI.2016.48
ISSN:	2378-1963
Versão da editora:	http://ieeexplore.ieee.org/document/7781494/#full-text-section
Arbitragem científica:	yes
Acesso:	Acesso restrito UMinho
Aparece nas coleções:	CAlg - Resumos em livros de atas/Abstracts in proceedings