Study of similarity measures for case-based reasoning in transcatheter aortic valve implantation

Case-Based Reasoning (CBR) uses previous experiences to solve similar current problems. The basic hypothesis is that similar cases should have similar solutions. In the case of Transcatheter Aortic Valve Implantation (TAVI), the CBR could help practitioners to plan the procedure. Four steps compose a CBR: retrieve, reuse, revise and retain. Defining a convenient similarity measure (SM) is essential in the retrieve step. This study aims to analyze the performance of different similarity measures and attribute selections. Generally in the retrieve step, a standard weighted heterogeneous similarity measure (WHSM) is used, in association with the k-nearest neighbor algorithm. Based on WHSM, we considered new definitions of SMs dedicated to decision support for TAVI. They include attributes selection and weight determination through a clinical decision tree. The performance of SMs was evaluated on a set of 100 cases with a leave-one-out cross validation. Results show that the CBR retrieving process can be improved by using dedicated SMs.

[1]  Rassoul Noorossana,et al.  A case-based reasoning system development for statistical process control: Case representation and retrieval , 2012, Comput. Ind. Eng..

[2]  C. Tappert,et al.  A Survey of Binary Similarity and Distance Measures , 2010 .

[3]  Tony R. Martinez,et al.  Improved Heterogeneous Distance Functions , 1996, J. Artif. Intell. Res..

[4]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[5]  Pascal Haigron,et al.  eXiTCDSS: A framework for a workflow-based CBR for interventional Clinical Decision Support Systems and its application to TAVI , 2014, Expert Syst. Appl..

[6]  Marie-Jeanne Lesot,et al.  Similarity measures for binary and numerical data: a survey , 2008, Int. J. Knowl. Eng. Soft Data Paradigms.

[7]  Changyong Liang,et al.  A case-based reasoning system based on weighted heterogeneous value distance metric for breast cancer diagnosis , 2017, Artif. Intell. Medicine.

[8]  Andrzej Kraslawski,et al.  Similarity concept for case-based design in process engineering , 2006, Comput. Chem. Eng..

[9]  Miquel Sànchez-Marrè,et al.  A comparative study on the use of similarity measures in case-based reasoning to improve the classification of environmental system situations , 2004, Environ. Model. Softw..

[10]  Zhiming Zhang,et al.  Similarity Measures for Retrieval in Case-Based Reasoning Systems , 1998, Appl. Artif. Intell..

[11]  Mobyen Uddin Ahmed,et al.  Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).