Improving the Visual and Statistical analysis Efficiency of Brain Network Using R

Authors(2) :-P. H. Raghava, Dr. A. P. Siva Kumar

This Paper gives an interactional visual consideration tool for brain network using FMRI (functional magnetic resonance imaging brain scans). It aimed to visual the multi data sets and statistical analysis of brain regions when performing a task or resting state. In order to understanding the brain network regions. Our tool visualize the multiple brain regions using the multiple data sets to identifying outlier data. Based on the dataset we are able to perform statistical computation on the dataset by using R Programming. This report contains the complete information based on the attributes and gives us an idea to know which attributes are worst affecting the patient. Now we can predict which region of brain working full.

Authors and Affiliations

P. H. Raghava
M.Tech, CSE Department, JNTUCEA, Ananthapuramu, Andhra Pradesh, India
Dr. A. P. Siva Kumar
Assistant Professor, CSE Department, JNTUCEA, Ananthapuramu, Andhra Pradesh, India

Bioinformatics, Neuroinformatics, FMRI (functional magnetic resonance imaging brain scans).

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 604-607
Manuscript Number : CSEIT1724155
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

P. H. Raghava, Dr. A. P. Siva Kumar, "Improving the Visual and Statistical analysis Efficiency of Brain Network Using R", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.604-607, July-August-2017.
Journal URL : http://ijsrcseit.com/CSEIT1724155

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