A Proposed Effective Framework for Elderly with Dementia Using Data Mining

Elderly people constitute a significant percentage of the population all over the world. Patient Central Bureau of General Mobilization and Statistics (2013) reported that elderly represent 6.9% of the Egyptian population, it is estimated that the number of elderly people will be replicated in 2030. Eight percent (8%) of elders aged between 65 & 74, also about 50% aged over 80 suffer from the cognitive disease or dementia. The core of this research is to use intelligent techniques to fulfill specific needs of cognitive deficits patients and assess interaction changes based on patient's behavior in various disease stages. The aim of this paper is to provide a usable and effective framework for elderly. The proposed framework will be divided into three main phases, evaluation phase, data mining phase and assistance phase. Patient proceeds in the three stages by behavior analysis and feedback to provide interactive evaluation and assistance for him/her.