Thursday 28th of March 2024
 

Similarity Measure in the Case-Based Reasoning Systems for Medical Diagnostics in Traditional Medicine


Odilon Yapo M. Achiepo, Behou Gérard N'guessan and Konan Marcellin

The Case-Based Reasoning (CBR) is a problem solving paradigm based on the reuse of past experiences stored in a cases base. The CBR has been used in many industrial systems to solve problems in various fields including medical diagnosis. In CBR systems, the concept of similarity is very important because it is the basis for the entire system. However, the effectiveness of similarity measures used depends on the problem being addressed. In this paper, we propose a measure of similarity for the development of CBR systems automatically diagnose diseases appropriate to the field of traditional medicine.

Keywords: Case-Based Reasoning, medical diagnostics, traditional medicine, similarity measures

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ABOUT THE AUTHORS

Odilon Yapo M. Achiepo
Odilon Yapo M. ACHIEPO Is a statistician-economist Engineer (ENSEA Abidjan, Ivory Coast) and has a Master degree in Computer Science in the field of Artificial Intelligence and Business Intelligence (Polytechique Nantes, France). He is a Ph-D student in Mathematics and Information Technologies (EDP-INPHB Yamoussoukro, Ivory Coast). He is also a Teacher-researcher in University of Korhogo (Ivory Coast), Senior-Expert Consultant, member of the international resilience unit (UMI Resilience, IRD) and is a member of the Laboratory of Computer Sciences and Telecommunications (INP-HB) Abidjan, Ivory Coast. His centers of interests are Apply Mathematics and Artificial Intelligence with a focus on Multidimensional Statistics, Machine Learning, Data Mining and Data Science. His is the author-creator of the Resilometrics, a modeling discipline which consist on developing computational models for social resilience process measurement and simulation.

Behou Gérard N'guessan
Behou Gérard N'GUESSAN Is in third year of thesis to the university Nangui Abrogoua, member of Institut National Polytechnique Houphouët Boigny (INP-HB) Research Laboratory in Computer Sciences and Telecommunications (INP-HB) Abidjan Ivory Coast. His interests of the research include the mathematical modeling, the engineering of the media, the traditional medicine, and inventor of applications. His works are centered on their research of the method of training the traditional medicine.

Konan Marcellin
Konan Marcellin is a Doctor in Computer Science, Teacher researcher at Institut National Polytechnique Felix Houphouët Boigny (INP-HB) de Yamoussoukro (Ivory Coast). He is the Director of the Department of Mathematics and Computer Science. Hi is also a Member of Laboratory in Computer Sciences and Telecommunications (INP-HB) Abidjan Ivory Coast. His interests are: information systems, database and programming languages.


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