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 A comprehensive investigation on machine learning techniques for diagnosis of down syndrome Subject The topic of the resource Down Syndrome; Machine Learning Description An account of the resource Down Syndrome is a chromosomal disease which causes many physical and cognitive disabilities. Down Syndrome patients are more vulnerable than any other patient. Medical experts started knowing it now with keen awareness. In recent years it has become a field of interest for many researchers, medical experts and social organisation. For the researchers it is an area of interest where very little work is done and a lot to be explored. Machine Learning consists of different processing levels like pre-processing, segmentation, feature selection and classification. Each level contains a vast set of techniques like filters, segmentation algorithms and classifiers. Machine Learning is one of the most popular algorithm, which is used to automate the decision making process with higher rate of accuracy in less time with least error rate. Machine Learning proved its significance with highest rate of accuracy in decision making and problem solving in almost all the fields but automated decision making in medical science is still a challenge. This paper reviews the different works done in the field of Down Syndrome using Machine Learning applied on different medical images, and the techniques like pre-processing, segmentation, feature selection and classification. The aim of this research work is to analyse and identify the Machine Learning methodologies that works efficiently to detect Down Sundrome. 2017 IEEE. Creator An entity primarily responsible for making the resource Malviya M.; Chandra J.; Hiremath M. Source A related resource from which the described resource is derived Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017, pp. 872-878. 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 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SmartTechCon.2017.8358497" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SmartTechCon.2017.8358497</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048052668&amp;doi=10.1109%2FSmartTechCon.2017.8358497&amp;partnerID=40&amp;md5=3fafc8585c20e0e160d9c6736187d14b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048052668&amp;doi=10.1109%2fSmartTechCon.2017.8358497&amp;partnerID=40&amp;md5=3fafc8585c20e0e160d9c6736187d14b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153860568-4 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 Malviya M., Department of Computer Science, Christ University, Bangalore, Karnataka, India; Chandra J., Department of Computer Science, Christ University, Bangalore, Karnataka, India; Hiremath M., Department of Computer Science, Christ University, Bangalore, Karnataka, India