A case-based framework for leveraging nutrigenomics knowledge and personal nutrition counseling

Paper presented at the 7th European Conference in Case-Based Reasoning, Madrid, Spain.NutriGenomics is the bioscience that links the way nutrients and other dietary components shape genetic activity. It builds on the success of Human Genome Project by applying systems biology methods to explain how the molecular components of food, supplements and pharmaceuticals dynamically influence and shape the activity of genomic subsystems, which in turn define how a person can stay healthy or become ill. Applying NutriGenomics knowledge is done through Directive Genomics, which develops purposeful dietary strategies that influence gene expression at the individual level with the goal of better genetic function and health. This paper proposes a case-based framework for leveraging nutrigenomics knowledge and Directive Genomics applications. The unique features of the proposed system include a selfmaintained distributed case base structure and a CBR-based nutrition counseling module that can learn, adapt, and maintain its case base via the integrated distributed case bases as well as external resources

Integrating CBR into the Health Care Organization

The market for health care systems supporting physicians and improving their daily routine is steadily growing. The development of these systems requires handling medical knowledge and process knowledge. One promising knowledge management technique that has been applied in various medical assistant systems is Case-Based Reasoning (CBR). This paper presents selected work from the history of “CBR in Medicine”, clarifying that several systems already have been developed in the past, but the medical domain also still provides new problems and challenges, where a CBR–approach can be profitably applied. Currently, we are developing a CBR-based component, able to retrieve medical documents in written text form and to convert them into new patterns like a DICOM Structured Report. The component will be integrated in our existing transparent gateway for distributed data access to enable the collaboration of several health care organizations. 1