Observatorio de I+D+i UPM

Memorias de investigación
Capítulo de libro:
Integrating Expert Knowledge and Data Mining for Medical Diagnosis
Año:2007
Áreas de investigación
  • Inteligencia artificial,
  • Lenguaje de programación
Datos
Descripción
The medical diagnosis system described in this chapter uses underlying knowledge in the isokinetics domain, gathered by combining the expertise of a physician specialized in isokinetics techniques and data mining techniques applied to a set of existing data. An isokinetics machine is basically a physical support on which patients exercise one of their joints, in this case the knee, according to different ranges of movement and at a constant speed. The data on muscle strength supplied by the machine are processed by an expert system that has built-in knowledge elicited from an expert in isokinetics. It cleans and pre-processes the data and conducts an intelligent analysis of the parameters and morphology of the isokinetics curves. Data mining methods based on the discovery of sequential patterns, which identify similarities and differences among exercises, were applied to the processed information to characterize injuries and discover populationspecific reference patterns. The results achieved by this system were validated against an expert and a novice physiotherapist. We found that the system and the expert made a similar number of mistakes and much fewer than the novice. The results were applied to an environment for elite athletes.
Internacional
Si
DOI
Edición del Libro
0
Editorial del Libro
Nova Science Publishers, Inc.
ISBN
9781600216886
Serie
0
Título del Libro
Systems Research Trends
Desde página
113
Hasta página
137
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Agustín Santamaría (Sun Microsystems)
  • Autor: Loic Antonio Martinez Normand (UPM)
  • Autor: Juan Pedro Caraca-Valente Hernandez (UPM)
  • Autor: Fernando Alonso Amo (UPM)
  • Autor: Aurora Perez Perez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Investigación en Tecnología Informática y de las Comunicaciones: CETTICO
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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