Traumatic Brain Injury (TBI) Statistical and Unsupervised Learning Analysis of FITBIR Datasets

Sponsor

Army Research Lab Grant on Traumatic Brain Injury (TBI) Research through the Acute Effects of Neurotrauma Consortium (AENC)

Overview

Collaborative work with Missouri S&T Applied Computational Intelligence group to apply novel machine learning and statistical techniques to characterize data from FITBIR (Federal Interagency Traumatic Brain Injury Research informatics system) for identifying aspects of TBI that are amenable to improving outcomes via personalized medicine.

Relevant Publications

Journals

Conference Proceedings

Abstract Proceedings

  • L. Steinmeister, Yeboah D*, Olbricht GR, Obafemi-Ajayi T, Hadi B, Hier DB, Wunsch II DC.  Handling missing data for unsupervised learning with an application on a FITBIR Traumatic Brain Injury (TBI) Dataset.  2020 Military Health System Research Symposium (MHSRS).  https://doi.org/10.13140/RG.2.2.22914.71361.
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