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Differential Diagnosis of Dementia Using HUMANN-S Based Ensembles

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Recent Advances in Intelligent Engineering Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 378))

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Abstract

Dementia is one of the most prevalent diseases associated to aging. The two most common variations of this disease are Alzheimer Dementia (AD) type and Vascular Dementia (VD) type, but there are other many forms (OTD): Lewi Body, Subcortical, Parkinson, Trauma, Infectious dementias, etc. All of these forms can be associated with different patterns of anatomical affectation, different risk factors, multiple diagnostic characteristics and multiple profiles of neuropsychological tests, making the Differential Diagnosis of Dementias (DDD) very complex. In this chapter we propose new automatic diagnostic tools based on a data fusion scheme and neural ensemble approach, concretely we have designed HUMANN-S ensemble systems with missing data processing capability. Their ability have been explored using a battery of cognitive and functional/instrumental scales for DDD, among AD, VD and OTD. We carried out a comparative study between theese methods and a clinical expert, reaching these systems a higher level of performance than the expert. Our proposal is an alternative and effective complementary method to assist the diagnosis of dementia both, in specialized care as well as in primary care centres.

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Author information

Authors and Affiliations

  1. Departamento de Estadística, Investigación Operativa y Computación, Universidad de La Laguna, 38271, La Laguna, Spain

    Patricio García Báez

  2. Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, 35017, Las Palmas de Gran Canaria, Spain

    Carmen Paz Suárez Araujo

  3. Hospital Psiquiátrico Parayas, Gobierno de Cantabria, Santander, Spain

    Carlos Fernández Viadero

  4. Department of Computing and Control Engineering, Institute of Chemical Technology in Prague, Prague, Czech Republic

    Aleš Procházka

Authors
  1. Patricio García Báez
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  2. Carmen Paz Suárez Araujo
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  3. Carlos Fernández Viadero
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  4. Aleš Procházka
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Engineering Systems, Óbuda University, Bécsi út 96/b, H-1034, Budapest, Hungary

    János Fodor

  2. Institute of Computer Engineering, Control and Robotics, Wrocław University of Technology, 27 Wybrzeze Wyspianskiego st., 50-372, Wrocław, Poland

    Ryszard Klempous

  3. Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Campus Universitario de Tafira s/n, 35017, Las Palmas de Gran, Canaria, Spain

    Carmen Paz Suárez Araujo

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Báez, P.G., Araujo, C.P.S., Viadero, C.F., Procházka, A. (2012). Differential Diagnosis of Dementia Using HUMANN-S Based Ensembles. In: Fodor, J., Klempous, R., Suárez Araujo, C.P. (eds) Recent Advances in Intelligent Engineering Systems. Studies in Computational Intelligence, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23229-9_14

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  • DOI: https://doi.org/10.1007/978-3-642-23229-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23228-2

  • Online ISBN: 978-3-642-23229-9

  • eBook Packages: EngineeringEngineering (R0)

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