Case-based reasoning algorithms applied in a medical acquisition tool

Abstract

The knowledge of clinical medicine can, efficiently and effectively, be elicited and encoded automatically as cases. The developed knowledge base often contains some redundancy. The cost can be tolerated as it affects neither the performance of the system nor the integrity of the knowledge. The advantages are simplicity in development and reliability in performance.

Key Words:

• Knowledge representation
• Case-based reasoning
• Automatic knowledge acquisition tools
• Expert systems
• Machine learning