• THEJASWINI K P
• B A SUJATHAKUMARI

Alzheimer’s is a disease (AD) of the brain that causes problems with memory, thinking and behavior. Alzheimer’s disease is a relatively common neurodegenerative disabling disease. It affects central nervous system with profound effect on the motor system. It is not a normal part of aging. Alzheimer’s gets worse over time. The disease may cause a person to become confused, lost in familiar places, misplace things or have trouble with language. Early diagnosis Alzheimer's allows prompt treatment of reversible symptoms. Alzheimer’s disease can affect a person as a result of cerebra vascular disease, brain tumor. Several approaches have been proposed to assist in the early diagnosis of Alzheimer’s disease (AD) and its prodromal stage of mild cognitive impairment (MCI). Diagnosis of the disease at the early stage will enable the diseased to have quality life. The main aim of this paper is to review brain imaging techniques, preprocessing algorithms and classification algorithms to identify the most suitable approach to diagnose Alzheimer’s disease.

Alzheimer’s Disease, Computer-Aided Diagnosis, Dual-Tree Complex Wavelet Transform, Principal Component Analysis, Linear Discriminant Analysis, Extreme Learning Machine, Support Vector Machine, Alzheimer’s Disease Neuroimaging Initiative, Open Access Series of Imaging Studies.

"REVIEW ON EARLY DETECTION OF ALZHEIMER’S DISEASE USING DIFFERENT TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.537-544, January-2019, Available :http://www.jetir.org/papers/JETIR1901067.pdf

"REVIEW ON EARLY DETECTION OF ALZHEIMER’S DISEASE USING DIFFERENT TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp537-544, January-2019, Available at : http://www.jetir.org/papers/JETIR1901067.pdf