Generating reference models for structurally complex data: application to the stabilometry medical domain

Alonso Amo, Fernando ORCID: https://orcid.org/0000-0001-9437-9258, Lara Torralbo, Juan Alfonso, Martínez Normand, Loïc ORCID: https://orcid.org/0000-0002-6906-5828, Pérez Pérez, Aurora ORCID: https://orcid.org/0000-0001-6495-3474 and Caraça-Valente Hernández, Juan Pedro (2013). Generating reference models for structurally complex data: application to the stabilometry medical domain. "Methods of Information in Medicine", v. 52 (n. 5); pp. 441-453. ISSN 0026-1270. https://doi.org/10.3414/ME12-01-0106.

Description

Title: Generating reference models for structurally complex data: application to the stabilometry medical domain
Author/s:
Item Type: Article
Título de Revista/Publicación: Methods of Information in Medicine
Date: 2013
ISSN: 0026-1270
Volume: 52
Subjects:
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

We present a framework specially designed to deal with structurally complex data, where all individuals have the same structure, as is the case in many medical domains. A structurally complex individual may be composed of any type of singlevalued or multivalued attributes, including time series, for example. These attributes are structured according to domain-dependent hierarchies. Our aim is to generate reference models of population groups. These models represent the population archetype and are very useful for supporting such important tasks as diagnosis, detecting fraud, analyzing patient evolution, identifying control groups, etc.

More information

Item ID: 26397
DC Identifier: https://oa.upm.es/26397/
OAI Identifier: oai:oa.upm.es:26397
DOI: 10.3414/ME12-01-0106
Official URL: http://www.schattauer.de/en/magazine/subject-areas...
Deposited by: Memoria Investigacion
Deposited on: 21 Jul 2014 09:34
Last Modified: 30 Nov 2017 09:51
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