Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Alzheimer's Disease Detection using Machine Learning: A Review Subject The topic of the resource alzheimer's disease; machine Learning; pathologically proven data; support vector machine; transfer learning Description An account of the resource Alzheimer's is a progressive brain disorder which is an untreatable, and inoperable and mostly affect the elderly people. There is a new case of Alzheimer's disease being discovered globally in every four seconds. The outcome is fatal, as it results in death. Timely identification of Alzheimer's disease can be beneficial for us to get necessary care and possibly even avert brain tissue damage by the time. Effective automated techniques are required for detecting Alzheimer's disease at very early stage. Researchers use a variety of novel approaches to classify Alzheimer's disease. machine learning, an AI branch use probabilistic technique that allow system to acquire knowledge from huge amount of data. In this paper we represent a analysis report of the work which is done by researcher in this field. Research has achieved quite promising prediction accuracies however they were evaluated the the non-existent datasets from various imaging modalities which makes it difficult to make the fair comparison with the other methods comparison among them. In this paper, we conducted a study on the effectiveness of using human brain MRI scans to detect Alzheimer's disease and ended with a future discussion of Alzheimer's research trends. 2021 IEEE. Creator An entity primarily responsible for making the resource Dahiya S.; Vijayalakshmi S.; Sabharwal M. Source A related resource from which the described resource is derived Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 288-293. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N53548.2021.9725703" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N53548.2021.9725703</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127011417&amp;doi=10.1109%2FICAC3N53548.2021.9725703&amp;partnerID=40&amp;md5=79c9687a2af143a1cdddc2c4bb3a790f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127011417&amp;doi=10.1109%2fICAC3N53548.2021.9725703&amp;partnerID=40&amp;md5=79c9687a2af143a1cdddc2c4bb3a790f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543811-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dahiya S., Galgotias University, School of Computing Science and Engineering, Greater Noida, India; Vijayalakshmi S., Christ University, Department of Data Science, Lavasa, India; Sabharwal M., Galgotias University, School of Computing Science, Greater Noida, India