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 |
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