Abstract
In previous papers we introduced HeCaSe2, a multi-agent system that helps doctors to follow the automatic application of clinical guidelines to patients. In this paper we show how aggregation operators, based on fuzzy logic, may be integrated in this system in order to personalize some of its tasks. These operators take into account the patient preferences when several medical services propose different conditions under which a specific medical test can be performed. The paper describes how different proposals can be rated and ranked, and discusses the influence of two parameters (the set of linguistic preference values and the rating policy) on the results of the aggregation procedure.
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References
Nealon, J.L., Moreno, A.: Agent-Based Applications in Health Care. In: Applications of Software Agent Technology in the Health Care Domain, pp. 3–18. Birkhäuser Verlag (2003)
Quaglini, S., Stefanelli, M., Cavallini, A., Micieli, G., Fassino, C., Mossa, C.: Guideline-based careflow systems. Artif. Intell. Med. 20, 5–22 (2000)
Seroussi, B., Bouaud, J., Chatellier, G.: Guideline-based modeling of therapeutic strategies in the case of chronic diseases. Int. J. Med. Inform. 74, 89–99 (2005)
IOM: Clinical Practice Guidelines: Directions for a New Program. Institute of Medicine (IOM), National Academy Press, Washington, D.C (1990)
Quaglini, S., Ciccarese, P., Micieli, G., Cavallini, A.: Non-Compliance with Guidelines: Motivations and Consequences in a case study. In: Symposium on Computerized Guidelines and Protocols, CGP 2004, pp. 75–87. IOS Press, Amsterdam (2004)
Herrera, F., Herrera-Viedma, E.: Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets and Systems 115, 67–82 (2000)
Isern, D., Moreno, A.: Distributed guideline-based health care system. In: Intel. Systems Design and Applications, ISDA 2004, pp. 145–150. IEEE Press, Los Alamitos (2004)
Peleg, M., Tu, S., et al.: Comparing Computer-Interpretable Guideline Models: A Case-Study Approach. J. Am. Med. Inf. Ass. 10, 52–68 (2003)
Ghinea, G., Magoulas, G.: Intelligent Protocol Adaptation in an Enhanced Medical e-Collaboration Environment. Int. J. Art. Int. Tools 13, 199–218 (2004)
Delgado, M., Herrera, F., Herrera-Viedma, E., Martínez, L.: Combining numerical and linguistic information in group decision making. Inf. Sci. 107, 177–194 (1998)
Grabisch, M., Orlovski, S., Yager, R.: Fuzzy aggregation of numerical preferences. In: Slowinski, R. (ed.) Fuzzy sets in decision analysis, operations research and statistics, pp. 31–68. Kluwer Academic Publishers, Dordrecht (1999)
Yager, D.R.: On Ordered Weighted Averaging Aggregation. Operators in Multicriteria Decision making. IEEE Trans. Syst. Man Cybern. 18, 183–190 (1988)
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Isern, D., Valls, A., Moreno, A. (2006). Using Aggregation Operators to Personalize Agent-Based Medical Services. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_159
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DOI: https://doi.org/10.1007/11893004_159
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46537-9
Online ISBN: 978-3-540-46539-3
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