Efficient Machine Learning Techniques to Diagnose and Predict Alzheimer’s disease

,Sai Sindhuri Nasina,A Rama Mohan Reddy

doi:10.35940/ijeat.c6508.029320

Abstract

Recent research in computational engineering have evidenced the design and development numerous intelligent models to analyze medical data and derive inferences related to early diagnosis and prediction of disease severity. In this context, prediction and diagnosis of fatal neurodegenerative diseases that comes under the class of dementia from medical image data is considered as the challenging area of research for many researchers. Recently Alzheimer’s disease is considered as major category of dementia that affects major population. Despite of the development of numerous machine learning models for early diagnosis of Alzheimer’s disease, it is observed that there is a lot more scope of research. Addressing the same, this article presents a systematic literature review of machine learning techniques developed for early diagnosis of Alzheimer’s disease. Furthermore this article includes major categories of machine learning algorithms that include artificial neural networks, Support vector machines and Deep learning based ensemble models that helps the budding researchers to explore the scope of research in predicting Alzheimer’s disease. Implementation results depict the comparative analysis of state of art machine learning mechanisms.

Highlights

Dementia is a health condition which is linked with memory thinking, behavior and the ability perform daily activities
Each fresh outcome is determined in line with the integration of all of the testing arranged identification listings
This article mainly focuses on presenting the detailed review of research works that includes various techniques and intelligent models developed for early diagnosis of Alzheimer’s disease

Summary

Introduction

Dementia is a health condition which is linked with memory thinking, behavior and the ability perform daily activities. The conditions by which we can determine this problem is by the existence of neurotic plaques within the brain and damage of brain cells progressively In these conditions signs of dementia are progressed slowly and start troubling the daily life with highest impact. It is stated that the patients count with AD will double in the coming two decades [1], it is estimated that 1 in 5 will be affected in 2050 [2] Due to this treatment with precision is required in early stages of AD. Dementia which is due to Alzheimer’s disease is medically distinguished based on cognitive and executive dysfunction, psychiatric symptoms and behavioral problems. It results in trouble in daily functions which lead to deaths. In the last few years detecting Alzheimer’s disease has become possible but it is confirmed only after complete postmortem in relation to brain autopsy

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Conclusion