ENABLING UBIQUITOUS DATA MINING IN INTENSIVE CARE - Features Selection and Data Pre-processing

Manuel Santos, Filipe Portela

2011

Abstract

Ubiquitous Data Mining and Intelligent Decision Support Systems are gaining interest by both computer science researchers and intensive care doctors. Previous work contributed with Data Mining models to predict organ failure and outcome of patients in order to support and guide the clinical decision based on the notion of critical events and the data collected from monitors in real-time. This paper addresses the study of the impact of the Modified Early Warning Score, a simple physiological score that may allow improvements in the quality and safety of management provided to surgical ward patients, in the prediction sensibility. The feature selection and data pre-processing are also detailed. Results show that for some variables associated to this score the impact is minimal.

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Paper Citation


in Harvard Style

Santos M. and Portela F. (2011). ENABLING UBIQUITOUS DATA MINING IN INTENSIVE CARE - Features Selection and Data Pre-processing . In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8425-53-9, pages 261-266. DOI: 10.5220/0003507302610266

in Bibtex Style

@conference{iceis11,
author={Manuel Santos and Filipe Portela},
title={ENABLING UBIQUITOUS DATA MINING IN INTENSIVE CARE - Features Selection and Data Pre-processing},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2011},
pages={261-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003507302610266},
isbn={978-989-8425-53-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - ENABLING UBIQUITOUS DATA MINING IN INTENSIVE CARE - Features Selection and Data Pre-processing
SN - 978-989-8425-53-9
AU - Santos M.
AU - Portela F.
PY - 2011
SP - 261
EP - 266
DO - 10.5220/0003507302610266