New knowledge extraction technique using probability for case-based reasoning: application to medical diagnosis

@article{Park2006NewKE,
  title={New knowledge extraction technique using probability for case-based reasoning: application to medical diagnosis},
  author={Yoon-Joo Park and Byung-Chun Kim and Se-Hak Chun},
  journal={Expert Systems},
  year={2006},
  volume={23},
  pages={2-20}
}
Case-based reasoning (CBR) has been used in various problem-solving areas such as financial forecasting, credit analysis and medical diagnosis. However, conventional CBR has the limitation that it has no criterion for choosing the nearest cases based on the probabilistic similarity of cases. It uses a fixed number of neighbors without considering an optimal number for each target case, so it does not guarantee optimal similar neighbors for various target cases. This leads to the weakness of… CONTINUE READING
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