Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Selected papers of KES2012 - Part 1 of 2
Guest editors: M. Graña, A.I. Gonzalez-Acuña and C. Zanni-Merk
Article type: Research Article
Authors: Martínez-Romero, Marcosa; * | Vázquez-Naya, José M.b | Pereira, Javiera | Pereira, Miguelc | Pazos, Alejandrob | Baños, Gerardoc
Affiliations: [a] IMEDIR Center, University of A Coruña, Campus de Elviña s/n, A Coruña, Spain | [b] Department of Information and Communication Technologies, Computer Science Faculty, University of A Coruña, A Coruña, Spain | [c] Service of Anesthesiology, Resuscitation and Intensive Care, Meixoeiro Hospital, Vigo, Spain | Computational Intelligence Group, University of the Basque Country, UPV/EHU, Spain
Correspondence: [*] Corresponding author: Marcos Martínez-Romero, IMEDIR Center, University of A Coruña, Campus de Elviña s/n, 15071, A Coruña, Spain. Tel.: +34 981 167 000, ext. 2667; Fax: +34 981 167 172; E-mail: marcosmartinez@udc.es
Abstract: When a patient enters an intensive care unit (ICU), either after surgery or due to a serious clinical condition, his vital signs are continually changing, forcing the medical experts to make rapid and complex decisions, which frequently imply modifications on the dosage of drugs being administered. Life of patients at critical units depends largely on the wisdom of such decisions. However, the human factor is sometimes a source of mistakes that lead to incorrect or inaccurate actions. This work presents an expert system based on a domain ontology that acquires the vital parameters from the patient monitor, analyzes them and provides the expert with a recommendation regarding the treatment that should be administered. If the expert agrees, the system modifies the drug infusion rates being supplied at the infusion pumps in order to improve the patient's physiological status. The system is being developed at the IMEDIR Center (A Coruña, Spain) and it is being tested at the cardiac intensive care unit (CICU) of the Meixoeiro Hospital (Vigo, Spain), which is a specific type of ICU exclusively aimed to treat patients who have underwent heart surgery or that are affected by a serious coronary disorder.
Keywords: Knowledge based systems, expert systems, ontologies, ontology based reasoning, intensive care
DOI: 10.3233/KES-130254
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 17, no. 1, pp. 45-53, 2013
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl