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.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Kléma J,Kubalík J,Lhotská Ldoi
10.1016/s0169-2607(05)80003-3subject
Has Abstractpub_date
2005-12-01 00:00:00pages
S17-28eissn
0169-2607issn
1872-7565pii
S0169-2607(05)80003-3journal_volume
80 Suppl 1pub_type
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