An efficient survey to detect Alzheimer disease using data mining techniques

Abstract

Data Mining is a computational process of discovering a certain pattern in huge datasets. It is an essential process where technical processes are applied to get patterns. Alzheimer's disease should be detected very early so that preventive measures can be taken. Alzheimer's disease is a chronic disorder that worsens over time. AD is a disease which progresses slowly and is characterized by loss of neurons. The symptoms of dementia keep on worsening over a number of years. It leads to loss of memory which disrupts the life of that person. Reasoning skills and thinking ability is also affected. The most spread disease in Western Europe is dementia and it is least spread in Sub-Saharan Africa. On an average rate, two in three people with Alzheimer are women.