A comprehensive investigation on machine learning techniques for diagnosis of down syndrome
- Title
- A comprehensive investigation on machine learning techniques for diagnosis of down syndrome
- Creator
- Malviya M.; Chandra J.; Hiremath M.
- Description
- 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.
- Source
- Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017, pp. 872-878.
- Date
- 2018-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Down Syndrome; Machine Learning
- Coverage
- 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
- Rights
- Restricted Access
- Relation
- ISBN: 978-153860568-4
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Malviya M.; Chandra J.; Hiremath M., “A comprehensive investigation on machine learning techniques for diagnosis of down syndrome,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 20, 2025, https://archives.christuniversity.in/items/show/20868.