An Investigation on Machine Intelligent Techniques to Regularize Incompetency in Communiqué

Thirumal, S. and J, Thangakumar and D, Venkata Subramanian (2019) An Investigation on Machine Intelligent Techniques to Regularize Incompetency in Communiqué. Journal of Advanced Research in Dynamical and Control Systems, 11 (0009-S). pp. 554-559. ISSN 1943023X

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Abstract

The analytics of Big Data in the field of healthcare and medicine has enabled large datasets to be
analysed from several patients thus identifying the correlation among datasets and their clusters resulting in the
development of predictive models with techniques of data mining. Communication disability has been associated
with issues and disability of learning. Almost 70% of those with a condition of communication disability seem to
have a certain level of learning disability that is based on the IQ score of the individual and also their cognitive
functioning levels. Another genomic birth related syndrome known as the Down syndrome is the result of either all
or a portion of an extra copy of the chromosome 21 which continues during the entire lifetime of a person. In this
work, a survey of works available in the literature that are based on Down syndrome and autism affected persons by
employing techniques of Big data or Machine learning is reviewed.

Item Type: Article
Subjects: Chemistry > Chemical Engineering
Domains: Chemistry
Depositing User: Mr IR Admin
Date Deposited: 06 Oct 2024 08:46
Last Modified: 28 Nov 2025 05:27
URI: https://ir.vistas.ac.in/id/eprint/8951

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