Beta Amyloid Peptide: Research Paper : Internet of Things and Machine Learning for Healthy Ageing: Identifying the Early Signs of Dementia

Internet of Things and Machine Learning for Healthy Ageing: Identifying the Early Signs of Dementia

Abstract

Identifying the symptoms of the early stages of dementia is a difficult task, particularly for older adults living in residential care. Internet of Things (IoT) and smart environments can assist with the early detection of dementia, by nonintrusive monitoring of the daily activities of the older adults. In this work, we focus on the daily life activities of adults in a smart home setting to discover their potential cognitive anomalies using a public dataset. After analysing the dataset, extracting the features, and selecting distinctive features based on dynamic ranking, a classification model is built. We compare and contrast several machine learning approaches for developing a reliable and efficient model to identify the cognitive status of monitored adults. Using our predictive model and our approach of distinctive feature selection, we have achieved 90.74% accuracy in detecting the onset of dementia.

Keywords: IoT in dementia care; IoT in healthcare; dementia; dementia and smart environment; internet of things; machine learning.

This article originally appeared in the "https://pubmed.ncbi.nlm.nih.gov/33114070/" and has their copyrights. We do not claim copyright on the content. This information is for research purposes only. This Blog is made available by publishers for educational purposes only as well as to give you general information and a general understanding , not to provide specific advice. By using this blog site you understand that there is no client relationship between you and the Blog publisher. The Blog should not be used as a substitute for competent research advice.