DocumentCode :
1395247
Title :
Information analysis and validation of intelligent monitoring systems in intensive care units
Author :
Moret-Bonillo, Vicente ; Mosqueira-Rey, E. ; Alonso-Betanzos, Amparo
Author_Institution :
Dept. of Comput. Sci., Univ. of La Coruna, Spain
Volume :
1
Issue :
2
fYear :
1997
fDate :
6/1/1997 12:00:00 AM
Firstpage :
87
Lastpage :
99
Abstract :
The validation of intelligent systems is an important task to perform. Typically, the results of the validation analysis are used to verify whether or not the system satisfies the initial design requirements, and to acquire new knowledge and/or refine the knowledge already acquired. In practice, the validation of intelligent systems usually requires the application of several different techniques (e.g. retrospective, prospective and quantitative). In this paper, the authors present the methodology devised to validate PATRICIA: an intelligent monitoring system designed to advise clinicians on the management of patients who are dependent on mechanical ventilation. The application of this methodology requires that appropriate validation paradigms are selected, depending on both the application domain and the characteristics of the intelligent system. The article also presents and discusses validation results.
Keywords :
computerised monitoring; information analysis; knowledge acquisition; knowledge verification; medical expert systems; patient care; patient monitoring; program verification; software performance evaluation; PATRICIA; clinicians; information analysis; initial design requirements; intelligent monitoring system validation; intelligent systems evaluation; intensive care units; knowledge acquisition; mechanical ventilation; patient management; performance analysis; prospective techniques; quantitative techniques; retrospective techniques; validation paradigm selection; Competitive intelligence; Information analysis; Intelligent systems; Patient monitoring; Performance analysis; Refining; Software prototyping; Software systems; System testing; Ventilation; Expert Systems; Humans; Intensive Care Units; Monitoring, Physiologic; Respiration, Artificial; Software;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/4233.640653
Filename :
640653
Link To Document :
بازگشت