Modelling Medical Time Series Using Grammar-Guided Genetic Programming

Alonso Amo, Fernando and Martínez Normand, Loïc and Pérez Pérez, Aurora and Santamaría Falcón, Agustín and Caraça-Valente Hernández, Juan Pedro (2008). Modelling Medical Time Series Using Grammar-Guided Genetic Programming. In: "8th Industrial Conference, ICDM 2008", 16/06/2010 - 18/06/2010, Leipzig, Alemania. ISBN 978-3-540-70717-2.

Description

Title: Modelling Medical Time Series Using Grammar-Guided Genetic Programming
Author/s:
  • Alonso Amo, Fernando
  • Martínez Normand, Loïc
  • Pérez Pérez, Aurora
  • Santamaría Falcón, Agustín
  • Caraça-Valente Hernández, Juan Pedro
Item Type: Presentation at Congress or Conference (Unspecified)
Event Title: 8th Industrial Conference, ICDM 2008
Event Dates: 16/06/2010 - 18/06/2010
Event Location: Leipzig, Alemania
Title of Book: Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects. Proceedings of the 8th Industrial Conference, ICDM 2008
Date: July 2008
ISBN: 978-3-540-70717-2
Volume: 5077
Subjects:
Freetext Keywords: Time series characterization,isokinetics, symbolic distance, information extraction, reference model,text minin.
Faculty: Facultad de Informática (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The analysis of time series is extremely important in the field of medicine, because this is the format of many medical data types. Most of the approaches that address this problem are based on numerical algorithms that calculate distances, clusters, reference models, etc. However, a symbolic rather than numerical analysis is sometimes needed to search for the characteristics of time series. Symbolic information helps users to efficiently analyse and compare time series in the same or in a similar way as a domain expert would. This paper describes the definition of the symbolic domain, the process of converting numerical into symbolic time series and a distance for comparing symbolic temporal sequences. Then, the paper focuses on a method to create the symbolic reference model for a certain population using grammar-guided genetic programming. The work is applied to the isokinetics domain within an application called I4.

More information

Item ID: 2457
DC Identifier: http://oa.upm.es/2457/
OAI Identifier: oai:oa.upm.es:2457
Official URL: http://www.springerlink.com/content/b49038515538622t/
Deposited by: Memoria de Investigacion 2
Deposited on: 02 Mar 2010 09:22
Last Modified: 20 Apr 2016 12:08
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