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

Case Mining from Large Databases

Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based reasoning. Case mining constructs a case base from a large raw dataset with an objective to improve the case-base reasoning systems’ efficiency and quality. Our approach starts from a raw database of objects with class attributes together with a historical database of past action sequences on these objects. The object databases can be customer records and the historical action logs can be the technical advises given to the customers to solve their problems. Our goal is to discover effective and highly representative problem descriptions associated with solution plans that accomplish their tasks. To maintain efficiency of computation, data mining methods are employed in the process of composing the case base. We motivate the application of the case mining model using a financial application example, and demonstrate the effectiveness of the model using both real and simulated datasets.