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What is Structural Adaptation

Handbook of Research on Distributed Medical Informatics and E-Health
Adaptation approach of Case Based Reasoning. It allows adapting the structure of the solution of a case from the case base in order to fit the problem of the query. Depending on the differences of the problem of the query and the problem of the similar case from the case base, components of the solution of the similar case are removed and reordered or new components are added (Wilke & Bergmann 1998, p. 500).
Published in Chapter:
Case Based Reasoning for Customizing Treatment Processes
Carolin Kaiser (University of Erlangen-Nuremberg, Germany)
DOI: 10.4018/978-1-60566-002-8.ch024
Abstract
This chapter introduces a case based reasoning (CBR) system for customizing treatment processes. The CBR system enables the generating of inpatient and outpatient treatment processes and the supporting of e-services in heath care networks individually customized to the patients’ needs. According to the CBR paradigm, which solves problems based on past experience, the proposed system uses old treatment processes of similar former patients and modifies them for new patients. In general, CBR is an established and well suited artificial intelligence method to support medical decision making. However, CBR systems capable of planning treatment processes by adapting old treatment processes to fit new patients are rare. The aim of this system is to increase the treatment quality of the patient by providing physicians with valuable treatment propositions and to contribute to the development of medical CBR Systems by introducing procedures enabling the generating of new treatment processes by modifying former treatment processes.
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