Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54618
Title: EDEVITALZH: predictive, preventive, participatory and personalized e-health platform to assist in the geriatrics and neurology clinical scopes
Authors: Suárez Araujo, Carmen Paz 
Pérez Del Pino, Miguel Angel 
García Báez, Patricio 
Fernández López, Pablo 
UNESCO Clasification: 120304 Inteligencia artificial
3201 Ciencias clínicas
Keywords: EDEVITALZH
E-Health
Alzheimer’s disease
Dementia
Computer-aided diagnosis
Issue Date: 2012
Journal: Lecture Notes in Computer Science 
Conference: 13th International Conference on Computer Aided Systems Theory (EUROCAST) 
13th International Conference on Computer Aided Systems Theory, EUROCAST 2011 
Abstract: This work presents an e-Health framework to aid diagnosis, prognosis and monitoring of Alzheimer’s Disease and other dementias (EDEVITALZH) by interacting with Intelligent Systems for Diagnosis. Conceived as an intelligent Clinical Workstation, it provides healthcare professionals methods and tools to perform their examinations in an efficient way. Diagnosis and prognosis will be more accurate, agile and patient-dedicated, allowing time and health resources optimization. Based on Grid Computing, it can be accessed and used securely over the Internet from any healthcare center (primary or specialized care) just by using a web browser. The proposed intelligent Clinical Workstation represents a relevant contribution in Medical Informatics and Telemedicine fields.
URI: http://hdl.handle.net/10553/54618
ISBN: 978-3-642-27578-4
ISSN: 0302-9743
DOI: 10.1007/978-3-642-27579-1_34
Source: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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