PMID: 16520140Mar 8, 2006Paper

Optimized model tuning in medical systems

Computer Methods and Programs in Biomedicine
Jirí KlémaLenka Lhotská

Abstract

In medical systems it is often advantageous to utilize specific problem situations (cases) in addition to or instead of a general model. Decisions are then based on relevant past cases retrieved from a case memory. The reliability of such decisions depends directly on the ability to identify cases of practical relevance to the current situation. This paper discusses issues of automated tuning in order to obtain a proper definition of mutual case similarity in a specific medical domain. The main focus is on a reasonably time-consuming optimization of the parameters that determine case retrieval and further utilization in decision making/ prediction. The two case studies - mortality prediction after cardiological intervention, and resource allocation at a spa - document that the optimization process is influenced by various characteristics of the problem domain.

References

Jul 1, 1993·The American Journal of Occupational Therapy : Official Publication of the American Occupational Therapy Association·R L SchemmR Schaaf
Dec 6, 2001·International Journal of Medical Informatics·R SchmidtL Gierl
Sep 12, 2002·Journal of the American Medical Informatics Association : JAMIA·Lutz FritscheHans-Hellmut Neumayer
Jul 1, 1996·Neural Networks : the Official Journal of the International Neural Network Society·Shuenn Shyang Wang, Wen Gou Lin

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