Using Domain Knowledge to Improve Intelligent Decision Support in Intensive Medicine - A Study of Bacteriological Infections

Rui Veloso, Filipe Portela, Manuel Filipe Santos, Álvaro Silva, Fernando Rua, António Abelha, José Machado

Abstract

Nowadays antibiotic prescription is object of study in many countries. The rate of prescription varies from country to country, without being found the reasons that justify those variations. In intensive care units the number of new infections rising each day is caused by multiple factors like inpatient length of stay, low defences of the body, chirurgical infections, among others. In order to complement the support of the decision process about which should be the most efficient antibiotic it was developed a heuristic based in domain knowledge extracted from biomedical experts. This algorithm is implemented by intelligent agents. When an alert appear on the presence of a new infection, an agent collects the microbiological results for cultures, it permits to identify the bacteria, then using the rules it searches for a role of antibiotics that can be administered to the patient, based on past results. At the end the agent presents to physicians the top-five sets and the success percentage of each antibiotic. This paper presents the approach proposed and a test with a particular bacterium using real data provided by an Intensive Care Unit.

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Paper Citation


in Harvard Style

Veloso R., Portela F., Filipe Santos M., Silva Á., Rua F., Abelha A. and Machado J. (2015). Using Domain Knowledge to Improve Intelligent Decision Support in Intensive Medicine - A Study of Bacteriological Infections . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 582-587. DOI: 10.5220/0005286405820587


in Bibtex Style

@conference{icaart15,
author={Rui Veloso and Filipe Portela and Manuel Filipe Santos and Álvaro Silva and Fernando Rua and António Abelha and José Machado},
title={Using Domain Knowledge to Improve Intelligent Decision Support in Intensive Medicine - A Study of Bacteriological Infections },
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={582-587},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005286405820587},
isbn={978-989-758-074-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Using Domain Knowledge to Improve Intelligent Decision Support in Intensive Medicine - A Study of Bacteriological Infections
SN - 978-989-758-074-1
AU - Veloso R.
AU - Portela F.
AU - Filipe Santos M.
AU - Silva Á.
AU - Rua F.
AU - Abelha A.
AU - Machado J.
PY - 2015
SP - 582
EP - 587
DO - 10.5220/0005286405820587