Parameter optimization in general Scan methods

Authors

  • Laureano Rodríguez Corvea University of Sancti Spíritus "José Martí Pérez"
  • Gladys Casas Cardoso Central University "Martha Abreu" of Las Villas
  • Pavel Silveira Díaz Central University "Martha Abreu" of Las Villas
  • Félix Arley Díaz Rosell Central University "Martha Abreu" of Las Villas
  • Ricardo Grau Abalo Central University "Martha Abreu" of Las Villas

DOI:

https://doi.org/10.17533/udea.redin.14670

Keywords:

fuzzy logic, non parametric experimental design, Scan method

Abstract

The present work shows an application of Experimental Design to the methods for disease cluster detection: Classic Scan and Fuzzy Scan. A non parametric experimental design for two factors is used. The fundamental target is to study the influence of the values of the parameters: the length width and the Scan step in order to determine optimum values.

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Author Biographies

Laureano Rodríguez Corvea, University of Sancti Spíritus "José Martí Pérez"

Department of Informatics, Faculty of Medical Sciences.

Gladys Casas Cardoso, Central University "Martha Abreu" of Las Villas

Bioinformatics Laboratory, Center for Informatics Studies, Faculty of Mathematics, Physics and Computing.

Pavel Silveira Díaz, Central University "Martha Abreu" of Las Villas

Department of Mathematics, Faculty of Mathematics, Physics and Computing.

Félix Arley Díaz Rosell, Central University "Martha Abreu" of Las Villas

Department of Mathematics, Faculty of Mathematics, Physics and Computing.

Ricardo Grau Abalo, Central University "Martha Abreu" of Las Villas

Bioinformatics Laboratory, Center for Informatics Studies, Faculty of Mathematics, Physics and Computing.

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Published

2013-02-28

How to Cite

Rodríguez Corvea, L., Casas Cardoso, G., Silveira Díaz, P., Díaz Rosell, F. A., & Grau Abalo, R. (2013). Parameter optimization in general Scan methods. Revista Facultad De Ingeniería Universidad De Antioquia, (56), 222–233. https://doi.org/10.17533/udea.redin.14670

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