Ontologies for early detection of the alzheimer disease and other neurodegenerative diseases

• Alba Gomez-Valadés ^[1] ; Rafael Martínez-Tomás ^[1] ; Mariano Rincón-Zamorano ^[1]
  1. [1] Universidad Nacional de Educación a Distancia

     Universidad Nacional de Educación a Distancia

     Madrid, España

     
• Localización: Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 Almería, Spain, June 3–7, 2019 Proceedings, Part I / José Manuel Ferrández Vicente (dir. congr.) , José Ramón Álvarez Sánchez (dir. congr.) , Félix de la Paz López (dir. congr.) , Francisco Javier Toledo Moreo (dir. congr.), Hojjat Adeli (dir. congr.), 2019, ISBN 978-3-030-19591-5, págs. 42-50
• Idioma: inglés
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• Resumen

  • Nowadays technologies allow an exponential generation ofbiomedical data, which must be indexed according to some standard criteria to be useful to the scientific and medical community, being neurology one of the areas in which the standardization is more necessary.Ontologies have been highlighted as one of the best options, with their capability of homogenise information, allowing their integration with other kind of information, and the inference of new information based on the data that is stored.We analyse and compare the approaches taken by different research groups inside the area of the Alzheimer’s disease, and the ontologies they developed with the objective of providing a common framework to standardize information, data recovery or as a part of an expert system.However, to make this approach work the ontologies must be maintained over the time, a critical point which is not been followed by any of the ontologies reviewed.