Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine

Filipe Portela, Filipe Pinto, Manuel Filipe Santos

2012

Abstract

The introduction of an Intelligent Decision Support System (IDSS) in a critical area like the Intensive Medicine is a complex and difficult process. In this area, their professionals don’t have much time to document the cases, because the patient direct care is always first. With the objective to reduce significantly the manual records and, enabling, at the same time, the possibility of developing an IDSS which can help in the decision making process, all data acquisition process and knowledge discovery in database phases were automated. From the data acquisition to the knowledge discovering, the entire process is autonomous and executed in real-time. On-line induced data mining models were used to predict organ failure and outcome. Preliminary results obtained with a limited population of patients showed that this approach can be applied successfully.

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Paper Citation


in Harvard Style

Portela F., Pinto F. and Santos M. (2012). Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012) ISBN 978-989-8565-31-0, pages 81-88. DOI: 10.5220/0004141500810088


in Bibtex Style

@conference{kmis12,
author={Filipe Portela and Filipe Pinto and Manuel Filipe Santos},
title={Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012)},
year={2012},
pages={81-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004141500810088},
isbn={978-989-8565-31-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012)
TI - Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine
SN - 978-989-8565-31-0
AU - Portela F.
AU - Pinto F.
AU - Santos M.
PY - 2012
SP - 81
EP - 88
DO - 10.5220/0004141500810088