Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/72233
Campo DC Valoridioma
dc.contributor.authorPérez Del Pino, M. A.en_US
dc.contributor.authorGarcía Báez, P.en_US
dc.contributor.authorMartinez-Garcia, J. M.en_US
dc.contributor.authorSuarez-Araujo, C. P.en_US
dc.date.accessioned2020-05-10T23:31:42Z-
dc.date.available2020-05-10T23:31:42Z-
dc.date.issued2014en_US
dc.identifier.isbn978-3-319-01435-7en_US
dc.identifier.issn2193-9411en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/72233-
dc.description.abstractIn the recent years, the sociological importance of the elderly has grown significantly because of the increase of the prevalence of degenerative disorders, among which Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD) and other cortical dementias should be highlighted. Using actual diagnostic criteria, by the time a patient is diagnosed with AD, the pathology has spread itself during several years. Besides, the unique certain AD diagnosis can only be performed postmortem. Thus, it becomes absolutely necessary to accomplish early detection and MCI diagnosis. This chapter presents the advances achieved in the fields of Medical Informatics and Telemedicine by means of the EDEVITALZH eHealth Delivery System. On one hand, and of remarkable importance to succeed in a certain diagnosis, a standardization of the clinical protocol is proposed and digitally implemented to provide clinicians with the adequate procedures, methods and tools to perform more accurate early and differential diagnosis, and prognosis of patients affected by these neuropathologies. On the other hand, EDEVITALZH technological infrastructure is described, regarding computer architecture, databases and software engineering, with special focus on the embedded mechanisms that allow integration between EDEVITALZH Core components and the Intelligent Systems for Diagnosis (ISD) and the Intelligent Decision Support Tools (IDST), providing Computational Intelligence to the described virtual clinical environment. These integrations upgrade EDEVITALZH to an intelligent Clinical Workstation, being able to aid clinicians in decision making for early and differential diagnosis, prognosis and in performing evolution studies of patients and their pathologies, no matter which healthcare level patients are being assisted in, Primary or Specialized.en_US
dc.languageengen_US
dc.relation.ispartofTopics in intelligent engineering and informaticsen_US
dc.sourceAdvanced Methods And Applications In Computational Intelligence / Ryszard Klempous [et al.] (eds.). TIEI, v. 6, p. 145-164, (2014)en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject32 Ciencias médicasen_US
dc.subject.otherCognitive impairmenten_US
dc.subject.otherAlzheimers-diseaseen_US
dc.subject.otherDiagnosisen_US
dc.titleTechnological infrastructure and business intelligence strategies for the EDEVITALZH eHealth Delivery Systemen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference1st Australian Conference on the Applications of Systems Engineering (ACASE)en_US
dc.identifier.doi10.1007/978-3-319-01436-4_8en_US
dc.identifier.isi000378541900008-
dc.description.lastpage164en_US
dc.description.firstpage145en_US
dc.relation.volume6en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid23226939-
dc.contributor.daisngid2362390-
dc.contributor.daisngid11627221-
dc.contributor.daisngid11093563-
dc.description.numberofpages20en_US
dc.identifier.eisbn978-3-319-01436-4-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Perez-del-Pino, MA-
dc.contributor.wosstandardWOS:Garcia-Baez, P-
dc.contributor.wosstandardWOS:Martinez-Garcia, JM-
dc.contributor.wosstandardWOS:Suarez-Araujo, CP-
dc.date.coverdate2014en_US
dc.identifier.conferenceidevents120962-
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.event.eventsstartdate06-02-2012-
crisitem.event.eventsenddate08-02-2012-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0009-0002-8343-1086-
crisitem.author.orcid0000-0002-8826-0899-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNamePérez Del Pino,Miguel Angel-
crisitem.author.fullNameGarcía Baez,Patricio-
crisitem.author.fullNameSuárez Araujo, Carmen Paz-
Colección:Actas de congresos
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