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

Authors

  • 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

Keywords:

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

Abstract

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-08-31

Issue

Volume 2, Issue 4, July-August-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
P. H. Raghava, Dr. A. P. Siva Kumar, " Improving the Visual and Statistical analysis Efficiency of Brain Network Using R, IInternational 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.