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: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2016 - CBI - Clusters Admission.pdf Acesso restrito! | 236,51 kB | Adobe PDF | Ver/Abrir |