Corpus ID: 4320713

A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling

@article{Minaee2017AML,
  title={A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling},
  author={Shervin Minaee and Yao Wang and Sohae Chung and X. Wang and E. Fieremans and S. Flanagan and J. Rath and Y. Lui},
  journal={ArXiv},
  year={2017},
  volume={abs/1708.09000}
}
While diffusion MRI has been extremely promising in the study of MTBI, identifying patients with recent MTBI remains a challenge. The literature is mixed with regard to localizing injury in these patients, however, gray matter such as the thalamus and white matter including the corpus callosum and frontal deep white matter have been repeatedly implicated as areas at high risk for injury. The purpose of this study is to develop a machine learning framework to classify MTBI patients and controls… Expand
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References

SHOWING 1-4 OF 4 REFERENCES
MR Imaging Applications in Mild Traumatic Brain Injury: An Imaging Update.
TLDR
Evidence of subtle brain changes in mTBI as revealed by magnetic resonance imaging techniques, which are not demonstrable by conventional imaging, will be reviewed to improve understanding of the true impact ofmTBI and its pathogenesis. Expand
Prediction of longterm outcome of neuropsychological tests of MTBI patients using imaging features
Mild Traumatic Brain Injury (MTBI) is a growing public health problem with an underestimated incidence of over one million people annually in the U.S. Neuropsychological tests are used to both assessExpand
Evaluating bag-of-visual-words representations in scene classification
TLDR
This study provides an empirical basis for designing visual-word representations that are likely to produce superior classification performance and applies techniques used in text categorization to generate image representations that differ in the dimension, selection, and weighting of visual words. Expand
What is a support vector machine?
Support vector machines (SVMs) are becoming popular in a wide variety of biological applications. But, what exactly are SVMs and how do they work? And what are their most promising applications inExpand