Machine Learning and Deep Learning Algorithms for Alzheimer Disease Detection and its Implication in Society 5.0

Alzheimer’s disease is one of the most growing diseases in the ageing population all over the world. It slowly becomes worse starting with mild symptoms and completely destroying one's ability to perform any regular activities. A convolutional neural network (CNN) is one of the deep learning technologies which is used to develop a system which can be used to recognise signs of Alzheimer's disease in MRI pictures. Deep Learning technologies can handle huge datasets which act as a predictor of AD disease. In Society 5.0 various machine learning and deep learning technologies are implemented using various healthcare data which focus on improving the lifestyle of the ageing population. It also reduces the overall expenditure associated with caregiving and solves the shortage of manpower issues. Hence, we propose in this chapter the various ways society 5.0 can improve the lifestyle of people suffering from dementia and increase their life expectancy. Such technologies which aim at solving the issues of the ageing population suffering from Alzheimer's disease will solve many social issues. This chapter aims at an in-depth study of various challenges faced by Alzheimer's affected patients and their families and how those challenges can be overcome with the help of various machine learning and deep learning technologies which can be implemented in society 5.0.