UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1805596


Registration ID:
182514

Page Number

1042-1045

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Title

Traumatic Brain Injury Prediction and Monitoring System of Patients

Abstract

Traumatic brain injury TBI is one among the foremost common varieties of Neurotrauma that has affected quite 250,000 military service members over the last decade alone. whereas in battle, service members WHO expertise TBI area unit at vital risk for the event of traditional TBI symptoms, likewise as risk for the event of psychological disorders like Post-Traumatic Stress Disorder PTSD. As such, these service members usually need intense bouts of medication and medical care so as to resume full return-to-duty standing. The first aim of this study is to spot the link between the administration of specific medications and reductions in symptomology like headaches, dizziness, or light-headedness. Service members diagnosed with mTBI and seen at the Concussion Restoration Care Center CRCC in Asian nation were analyzed in keeping with prescribed medications and symptomology. Here, we tend to demonstrate that in such things with thin labels and tiny feature sets, classic analytic techniques like supplying regression, support vector machines, nave Bayes, random forest, call trees, and k-nearest neighbor don't seem to be like minded for the prediction of outcomes. we tend to attribute our findings many to many problems inherent to the present downside setting and discuss several blessings of spectral graph ways. Keywords : Graphcuts, fMRI, Application

Key Words

Traumatic Brain Injury

Cite This Article

"Traumatic Brain Injury Prediction and Monitoring System of Patients", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.1042-1045, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805596.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Traumatic Brain Injury Prediction and Monitoring System of Patients", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp1042-1045, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805596.pdf

Publication Details

Published Paper ID: JETIR1805596
Registration ID: 182514
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier):
Page No: 1042-1045
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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