Testing and Analysis of Activities of Daily Living Data with Machine Learning Algorithms
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 3
Abstract
It is estimated that 28% of European Union’s population will be aged 65 or older by 2060. Europe is getting older and this has a high impact on the estimated cost to be spent for older people. This is because, compared to the younger generation, older people are more at risk to have/face cognitive impairment, frailty and social exclusion, which could have negative effects on their lives as well as the economy of the European Union. The ‘active and independent ageing’ concept aims to support older people to live active and independent life in their preferred location and this goal can be fully achieved by understanding the older people (i.e their needs, abilities, preferences, difficulties they are facing during the day). One of the most reliable resources for such information is the Activities of Daily Living (ADL), which gives essential information about people’s lives. Understanding this kind of information is an important step towards providing the right support, facilities and care for the older population. In the literature, there is a lack of study that evaluates the performance of Machine Learning algorithms towards understanding the ADL data. This work aims to test and analyze the performance of the well known Machine Learning algorithms with ADL data.
Authors and Affiliations
Ayse Cufoglu, Adem Coskun
Navigation Application with Safety Features
In 2017, the number of car accidents that occurred was astronomically high, even though, infrastructural road sys-tems are being continuously built and renewed to make it more efficient. But a significant problem which s...
Selection of Mathematical Problems in Accordance with Student’s Learning Style
This article describes the implementation and development of an expert system as a support tool to tackle mathematical topics, by using Bayesian networks as engine of inference and a learning styles, as well as the diffi...
Barriers in Adoption of Health Information Technology in Developing Societies
This paper develops the conceptual framework of barriers faced by the decision makers and management personnel of health sector. The main theme of this paper is to give a clear understanding about the adaption barriers o...
A Collaborative Filtering Recommender System Model for Recommending Intervention to Improve Elderly Well-being
In improving elderly well-being nowadays, people at home or health care centre are mostly focusing on guarding and monitoring the elderly using tools, such as CCTV, robots, and other appliances that require a great deal...
Double Authentication Model using Smartphones to Enhance Student on-Campus Network Access
Computers are widely used by all universities to provide network access to students. Therefore, the securities of these computers play a major role in protecting the network. In light of that, a strong access control is...