Publications

Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units

AuthID
P-009-YBW

Author(s)

Veloso, R

Portela, F

Santos, MF

Silva, A

Rua, F

Abelha, A

Machado, J

Editor(s)

Liu K.Filipe J.Filipe J.

Document Type

Proceedings Paper

Year published

2014

Published

in KMIS 2014 - Proceedings of the International Conference on Knowledge Management and Information Sharing in KMIS

Pages: 245-254

Conference

6Th International Conference on Knowledge Management and Information Sharing, Kmis 2014, Date: 21 October 2014 through 24 October 2014, Sponsors: Institute for Systems and Technologies of Information, Control and Communication (INSTICC)

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Scopus^®

Dblp^®/en/publications/view/326012

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Google Scholar^®

Metadata
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Publication Identifiers

DOI: 10.5220/0005083302450254

DBLP: conf/ic3k/VelosoPSSRA014

SCOPUS: 2-s2.0-84909994261

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