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Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2020,1,31]]},"abstract":"<jats:p>Alzheimer\u2019s disease is an incurable neurodegenerative disease primarily affecting the elderly population. Efficient automated techniques are needed for early diagnosis of Alzheimer\u2019s. Many novel approaches are proposed by researchers for classification of Alzheimer\u2019s disease. However, to develop more efficient learning techniques, better understanding of the work done on Alzheimer\u2019s is needed. Here, we provide a review on 165 papers from 2005 to 2019, using various feature extraction and machine learning techniques. The machine learning techniques are surveyed under three main categories: support vector machine (SVM), artificial neural network (ANN), and deep learning (DL) and ensemble methods. We present a detailed review on these three approaches for Alzheimer\u2019s with possible future directions.<\/jats:p>","DOI":"10.1145\/3344998","type":"journal-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T07:01:36Z","timestamp":1588575696000},"page":"1-35","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":257,"title":["Machine Learning Techniques for the Diagnosis of Alzheimer\u2019s Disease"],"prefix":"10.1145","volume":"16","author":[{"given":"M.","family":"Tanveer","sequence":"first","affiliation":[{"name":"Discipline of Mathematics, Indian Institute of Technology Indore, Simrol, Indore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B.","family":"Richhariya","sequence":"additional","affiliation":[{"name":"Discipline of Mathematics, Indian Institute of Technology Indore, Simrol, Indore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R. 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