Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/72530
Título: Artificial intelligent systems based on supervised HUMANN for differential diagnosis of cognitive impairment: towards a 4P-HCDS
Autores/as: García Báez, Patricio 
Pérez Del Pino, Miguel Angel 
Fernández Viadero,Carlos 
Suárez Araujo, Carmen Paz 
Clasificación UNESCO: 120304 Inteligencia artificial
3201 Ciencias clínicas
Palabras clave: Alzheimers-disease
Ensemble
Decline
Cognitive impairment
Dementia, et al.
Fecha de publicación: 2009
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 10th International Work-Conference on Artificial Neural Networks (IWANN 2009) 
Resumen: Differential and early diagnosis of cognitive impairment (CI) continues being one of the crucial points to which clinical medicine faces at every level of attention, and a significant public health concern. This work proposes new CI diagnostic tools based on a data fusion scheme, artificial neural networks and ensemble systems. Concretely we have designed a supervised HUMANN [1] with capacity of missing data processing (HUMANN-S) and a HUMANN-S ensemble system. These intelligent diagnostic systems are inside EDEVITALZH, a clinical virtual environment to assist the diagnosis and prognosis of Cl, Alzheimer's disease and other dementias. Our proposal is a personalized, predictive, preventive, and participatory-healthcare delivery system (4P-HCDS) and is ail optimal solution for an e-health framework. We explore their ability presenting preliminary results oil differential diagnosis of CI using neuropsychological tests from 267 consultations on 30 patients by the Alzheimer's Patient Association of Gran Canaria.
URI: http://hdl.handle.net/10553/72530
ISBN: 978-3-642-02477-1
ISSN: 0302-9743
DOI: 10.1007/978-3-642-02478-8_123
Fuente: Cabestany J., Sandoval F., Prieto A., Corchado J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517, p. 981-988 . Springer, Berlin, Heidelberg
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