International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8 Issue-6, August 2019 5206 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number F8215088619/2019©BEIESP DOI: 10.35940/ijeat.F8215.088619 Abstract: Alzheimer's disease (AD) is a degenerative brain disease, a common health problem in elderly pesople which causes decline in memory and affected on nerve cells. AD has different stages like mild congestive impairment (MIC) (early stage), moderate (middle stage), severe (late stage) it is essential to detect AD early in MIC, so that pre-emptive measures can be taken. Significant research was carried out over the past century to diagnose and detect this disease early. The objective of the article is provide a review evaluation and critical analysis of the recent research work done to early diagnosis of AD using Machine Learning Strategies. Keywords: Alzheimer disease, Classification, Machine Learning I. INTRODUCTION Alzheimer's disease (AD) is a brain degenerative disease. It is a effect on human thoughts and work. It is also caused by the other diseases and conditions. Like a decline in memory, effected on nerve cells. Neuronal damage in Alzheimer's disease consequently impacts parts of the brain that allow an person to perform general body activities such as walking, swallowing eating etc [22]. Dementia is a term describing a variety of disorders, and there are many various types of dementia, such as Alzheimer's disease, dementia with Lowy bodies and vascular dementia, and others. Dementia of the type (AD) of Alzheimer's disease is by far the most common cause of dementia. It is widely acknowledged that early detection of dementia can lead to more effective intervention and morbidity constraint Their research concludes that people who encounter MCI criteria can be differentiated from healthy control subjects and those with very mild Alzheimer's disease. It appears that this group of subjects is a clinical entity that can described for therapy measures. To date, most mental disorder types have been diagnosed based on clinical observation. In specific, those include recognition of disorders that tend to cluster together, the timing of disease appearance and their tendency to cure, persist or be chronic. Currently there are no effective and efficient diagnostic tools not available to detect Alzheimer’s. Boise et al. acknowledge prior research of low levels of clinical evaluation and diagnosis and conclude a possible explanation for this in the originality of the symptoms of dementia associated with the constraints encountered by Revised Manuscript Received on August 05, 2019 G Stalin Babu, Dept of CSE, Aditya Institute of Technology and Management, Tekkali, A.P., India. S N Tirumala Rao, Dept of CSE, Narasaraopeta Engg College. Narasaraopeta , A.P., India. R Rajeswara Rao, Dept of CSE,JNTUK University College of Engineering, Vizianagaram, A.P., India physicians in their clinical practice. Through modern neuropsychological and cognitive testing, Alzheimer's disease is clinically diagnosed and other evidence of intellectual deficiency is verified [25]. According to Dubois et al., in addition to the clinical measures, the recommendations for the diagnosis of Alzheimer's disease accentuate the role that distinct biomarkers can perform. Like Computerized Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Single Photon Emission Computed tomography (SPECT) etc., Genetic risk profiles are analysed although they are costly and complex to measure to large amounts of evaluations. There is no specific test that can prove whether a individual has Alzheimer's disease or not [23]. While physicians always can evaluate whether an person has dementia, the actual cause can be difficult to determine. Alzheimer's disease immunology and risk parameters make up 50% to 60% of all dementia situations in the modern world today. Some of the other causes of dementia are vascular, lewd body and frontal lobe.The incidence of dementia rises with age, from 1% in 60-64 to 24-33% in those 85 years of age or elder. Around 24.3 million persons suffered from dementia in 2001, which is predicted to double every two decades as life expectancy also rises to 81.1 million in 2040. Western Europe, the USA and China are the nations and regions of the globe that are most impacted.By 2040, 55.7% of the total population impacted will be ho me to these nations and regions II. ALZHEIMER’S DIESES A. Alzheimer's early signs and symptoms [20]  Memory loss that disrupts everyday life  Obstacles in planning or solving problems  Difficulty in understanding visual pictures and partial relationships  New issues with phrases in talking or writing  Reduced or poorly judged  losing the ability to retrace steps and Misplacing Things  Withdrawal from job or social activities  Difficulty in finishing familiar duties at home And at job or at leisure  Changes in state of mind and character Exploring of Classification Methods for Early Detection of Alzheimer’s Disease G Stalin Babu , S N Tirumala Rao , R Rajeswara Rao