Utilizza questo identificativo per citare o creare un link a questo documento: http://elea.unisa.it/xmlui/handle/10556/4530
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Campo DCValoreLingua
dc.contributor.authorRomán-Villarán, Esther
dc.contributor.authorPérez-Leon, Francisco De Paula
dc.contributor.authorEscobar-Rodriguez, German Antonio
dc.contributor.authorParra-Calderón, Carlos Luis
dc.date.accessioned2020-06-16T06:02:12Z
dc.date.available2020-06-16T06:02:12Z
dc.date.issued2019
dc.identifier.citationRomán-Villarán E, Pérez-Leon FP, Escobar-Rodriguez GA, Parra-Calderón CL. EIP on AHA ontology for adherence: knowledge representation advanced tools. Translational Medicine @ UniSa 2019, 19(8): 49-53.it_IT
dc.identifier.issn2239-9747it_IT
dc.identifier.urihttp://www.translationalmedicine.unisa.it/indexit_IT
dc.identifier.urihttp://elea.unisa.it:8080/xmlui/handle/10556/4530
dc.identifier.urihttp://dx.doi.org/10.14273/unisa-2724-
dc.description.abstractNowadays diseases tend to chronicle, mainly due to the increase in life expectancy and this leads to a state of polypharmacy. More than 1.5% of Spain's GDP is spent on pharmaceuticals and healthcare products. Complex chronic patients (pluripathological and polymedicated) account for most of the expenditure. The "Action Group A1" of the European Innovation Partnership develops in the "Active and Healthy Ageing" programme actions to improve the quality of life and health outcomes of these patients. On the other hand, the PITeS TIiSS project develops decision support tools to improve this scenario. An ontology has been developed as a tool on adherence. The domain of this ontology is mainly focused on medication adherence and measurement methods. This ontology gathers the necessary knowledge about the domain allowing the use of the ontology as part for is possible.it_IT
dc.format.extentP. 49-53it_IT
dc.language.isoitit_IT
dc.sourceUniSa. Sistema Bibliotecario di Ateneoit_IT
dc.subjectAdherenceit_IT
dc.subjectKnowledgeit_IT
dc.subjectPolypharmacyit_IT
dc.subjectChronic diseasesit_IT
dc.subjectOlder patientsit_IT
dc.titleEIP on AHA ontology for adherence: knowledge representation advanced toolsit_IT
dc.typeArticleit_IT
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