Case-Based Reasoning (CBR) systems is an important sub-class of decision support systems using reasoning based on similarity as the central element of decision support. The basic components of a CBR system include a Case Base (serving as the Knowledge Base and including previously observed cases with known decisions), a Similarity Assessment element used for case retrieval, and a Solution Adaptation block for the ultimate decision making based on the decisions of similar cases stored in the case base. For example, HeC CaseReasoner can be regarded as a typical CBR decision support system where decisions are made based on inter-patient similarity. The main benefit of CBR systems is the inherent transparency of the case retrieval and decision support process that raises the trust of the user in suggested decisions, which is especially important in clinical decision support.
Published in Chapter:
Gridifying Biomedical Applications in the Health-e-Child Project
David Manset (maat Gknowledge, France), Frederic Pourraz (maat Gknowledge, France), Alexey Tsymbal (Siemens AG, Germany), Jerome Revillard (maat Gknowledge, France), Konstantin Skaburskas (CERN, Switzerland), Richard McClatchey (University of the West of England, UK), Ashiq Anjum (University of the West of England, UK), Alfonso Rios (maat Gknowledge, Spain), and Martin Huber (Siemens AG, Germany)
Copyright: © 2009
|Pages: 25
DOI: 10.4018/978-1-60566-374-6.ch024
Abstract
The Health-e-Child project started in January 2006 with the aim of developing a Grid-based healthcare platform for European paediatrics and providing seamless integration of traditional and emerging sources of biomedical information. The objective of this chapter is to share experiences, and present major issues faced, solutions found and a roadmap for future work in developing the Grid infrastructure for interactive biomedical applications in the project, as Health-e-Child approaches its final phases. This chapter starts with a brief introduction of the project itself, followed by a description of its architecture on the Grid. It then illustrates the approach with the description of a concrete example of one integrated key application, the Health-e-Child CaseReasoner, which is intended for biomedical decision support over the Grid, and is based on similarity search and advanced data visualization techniques.