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Authors: Jimison Iavindrasana ; Gilles Cohen ; Adrien Depeursinge ; Henning Müeller ; Rodolphe Meyer and Antoine Geissbuhler

Affiliation: University and Hospitals of Geneva, Switzerland

Keyword(s): Nosocomial infection, Machine learning, Feature selection, Fisher's linear discriminant.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Support for Clinical Decision-Making

Abstract: The prevalence survey is a valid and realistic surveillance strategy for nosocomial infection surveillance but it is resource and labor-consuming. Querying the hospital data warehouse with a set of relevant features and applying a classification algorithm on the results can reduce the amount of cases to be evaluated by the infection control practitioners. The objective of this work is to provide a framework to build a nosocomial infection model with a set of pre-selected features with Fisher’s linear discriminant algorithm. Application of the methodology to two datasets provides promising results. It permits to predict respectively an average of 41.5% and 43.54% positive cases including respectively 65.37% and 82.56% true positive cases. The proposed framework can be applied to other classification algorithms, which are planned as future work.

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Paper citation in several formats:
Iavindrasana, J.; Cohen, G.; Depeursinge, A.; Müeller, H.; Meyer, R. and Geissbuhler, A. (2009). TOWARDS AN AUTOMATED NOSOCOMIAL INFECTION CASE REPORTING - Framework to Build a Computer-aided Detection of Nosocomial Infection . In Proceedings of the International Conference on Health Informatics (BIOSTEC 2009) - HEALTHINF; ISBN 978-989-8111-63-0; ISSN 2184-4305, SciTePress, pages 317-322. DOI: 10.5220/0001553103170322

@conference{healthinf09,
author={Jimison Iavindrasana. and Gilles Cohen. and Adrien Depeursinge. and Henning Müeller. and Rodolphe Meyer. and Antoine Geissbuhler.},
title={TOWARDS AN AUTOMATED NOSOCOMIAL INFECTION CASE REPORTING - Framework to Build a Computer-aided Detection of Nosocomial Infection },
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2009) - HEALTHINF},
year={2009},
pages={317-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001553103170322},
isbn={978-989-8111-63-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2009) - HEALTHINF
TI - TOWARDS AN AUTOMATED NOSOCOMIAL INFECTION CASE REPORTING - Framework to Build a Computer-aided Detection of Nosocomial Infection
SN - 978-989-8111-63-0
IS - 2184-4305
AU - Iavindrasana, J.
AU - Cohen, G.
AU - Depeursinge, A.
AU - Müeller, H.
AU - Meyer, R.
AU - Geissbuhler, A.
PY - 2009
SP - 317
EP - 322
DO - 10.5220/0001553103170322
PB - SciTePress