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Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors

  • D. Bastidas TorresEmail author
  • C. Piñeros Rodriguez
  • Diego H. Peluffo-Ordóñez
  • X. Blanco Valencia
  • Javier Revelo-Fuelagán
  • M. A. Becerra
  • A. E. Castro-Ospina
  • Leandro L. Lorente-Leyva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11431)

Abstract

When searching for better solutions that improve the medical diagnosis accuracy, Case-Based reasoning systems (CBR) arise as a good option. This article seeks to improve these systems through the use of parametric and non-parametric probability estimation methods, particularly, at their recovery and adaptation stages. To this end, a set of experiments are conducted with two essentially different, medical databases (Cardiotocography and Cleveland databases), in order to find good parametric and non-parametric estimators. The results are remarkable as a high accuracy rate is achieved when using explored approaches: Naive Bayes and Nearest Neighbors (K-NN) estimators. In addition, a decrease on the involved processing time is reached, which suggests that proposed estimators incorporated into the recovery and adaptation stage becomes suitable for CBR systems, especially when dealing with support for medical diagnosis applications.

Keywords

Case-based reasoning Classification Probability Bayes Parametric 

Notes

Acknowledgment

The authors acknowledge to the research project ‘Desarrollo de una metodología de visualización interactiva y eficaz de información en Big Data’ supported by Agreement No. 180 November 1st, 2016 by VIPRI from Universidad de Nariño. Also, authors thank the valuable support given by the SDAS-Smart Data Analysis Systems Research Group (www.sdas-group.com).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • D. Bastidas Torres
    • 1
    • 2
    Email author
  • C. Piñeros Rodriguez
    • 3
  • Diego H. Peluffo-Ordóñez
    • 2
    • 6
  • X. Blanco Valencia
    • 2
  • Javier Revelo-Fuelagán
    • 3
  • M. A. Becerra
    • 4
  • A. E. Castro-Ospina
    • 4
  • Leandro L. Lorente-Leyva
    • 5
  1. 1.Pontificia Universidad JaverianaCaliColombia
  2. 2.SDAS Research GroupYachay TechUrcuquíEcuador
  3. 3.Universidad de NariñoPastoColombia
  4. 4.Instituto Tecnológico MetropolitanoMedellínColombia
  5. 5.Universidad Técnica del NorteIbarraEcuador
  6. 6.Coorporación Universitaria Autónoma de NariñoPastoColombia

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