Rationale and aims: Learning through experience is an important approach that humans employ to comprehend new problems. The knowledge of physicians does not only consist of rules, but of a mixture of textbook knowledge and experience. Medical treatment is facing a challenge of knowledge discovery from the growing volume of information.
Method: Case-based reasoning (CBR) matches the natural reasoning model of human. This approach is similar to that used by physicians when they are thinking: 'I have seen a patient like this', and provides instant recollection of past cases that may be relevant to the present case. In fact, CBR is an approach for solving problems based on solutions of similar past cases. Unlike other forms of reasoning such as rule-based reasoning, CBR does not draw conclusions by chaining together generalized rules.
Conclusion: The application of CBR to medical databases can be powerful techniques to aid physicians in making decisions about the management of their patients, in various types of medical units. CBR is an effective reasoning strategy for optimizing clinical practice.