Influência dos factores de risco vascular no desempenho cognitivo

O objetivo deste estudo consiste em verificar até que ponto os sujeitos com fatores de risco vascular acentuados apresentam alterações no seu desempenho cognitivo, na ausência de lesão vascular conhecida. Para tal, os défices apresentados por estes foram comparados com sujeitos que se encontram na fase pós-aguda do AVC (Acidente Vascular Cerebral) e sujeitos do grupo de controlo. Os défices cognitivos foram avaliados através de uma bateria de testes neuro psicológicos estandardizados, nos quais se avaliou a atenção, memória e funções executivas. Os resultados parecem confirmar a existência de um défice significativo nos sujeitos com fatores de risco em relação ao grupo de controlo, no que diz respeito à memória verbal e visual a curto-prazo e capacidade de aprendizagem. Assim, com base nos resultados podemos inferir a possibilidade de que os fatores de risco, por si só, podem causar determinado tipo de défice cognitivo. / ABSTRACT: The aim of this study is to determine the extent to which individuals with vascular risk factors have pronounced changes in their cognitive performance, in the absence of known vascular injury. For this purpose, the deficits presented by these subjects were compared to those who are in the post-acute stage of the Stroke and subjects in the control group. Cognitive deficits were assessed using a battery of standardized neuro¬ psychological tests, in which it was assessed attention, memory and executive functions. The results seem to confirm the existence of a significant deficit in subjects with risk factors in relation to the control group in what regards to short-term verbal and visual memory and learning ability. Therefore, based on the results we may imply the possibility that risk factors by themselves can cause certain types of cognitive impairment.

Healthcare Computer Reasoning Addressing Chronically Ill Societies Using IoT: Deep Learning AI to the Rescue of Home-Based Healthcare

The authors present a proposal to develop intelligent assisted living environments for home based healthcare. These environments unite the chronical patient clinical history sematic representation with the ability of monitoring the living conditions and events recurring to a fully managed Semantic Web of Things (SWoT). Several levels of acquired knowledge and the case based reasoning that is possible by knowledge representation of the health-disease history and acquisition of the scientific evidence will deliver, through various voice based natural interfaces, the adequate support systems for disease auto management but prominently by activating the less differentiated caregiver for any specific need. With these capabilities at hand, home based healthcare providing becomes a viable possibility reducing the institutionalization needs. The resulting integrated healthcare framework will provide significant savings while improving the generality of health and satisfaction indicators.