Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54618
Título: EDEVITALZH: predictive, preventive, participatory and personalized e-health platform to assist in the geriatrics and neurology clinical scopes
Autores/as: Suárez Araujo, Carmen Paz 
Pérez Del Pino, Miguel Angel 
García Báez, Patricio 
Fernández López, Pablo 
Clasificación UNESCO: 120304 Inteligencia artificial
3201 Ciencias clínicas
Palabras clave: EDEVITALZH
E-Health
Alzheimer’s disease
Dementia
Computer-aided diagnosis
Fecha de publicación: 2012
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 13th International Conference on Computer Aided Systems Theory (EUROCAST) 
13th International Conference on Computer Aided Systems Theory, EUROCAST 2011 
Resumen: 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
Fuente: 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
Colección:Actas de congresos
Vista completa

Citas SCOPUSTM   

1
actualizado el 24-nov-2024

Citas de WEB OF SCIENCETM
Citations

2
actualizado el 25-feb-2024

Visitas

64
actualizado el 04-feb-2023

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.