Machine learning of multimodal MRI to predict the development of epileptic seizures after traumatic brain injuryDownload PDF

17 Apr 2019 (modified: 04 Jul 2019)MIDL 2019 Conference Abstract SubmissionReaders: Everyone
  • Keywords: Machine learning, Random Forest, Support Vector Machine, FreeSurfer, Multi-Scale Entropy, Magnetic Resonance Imaging, Post-traumatic epilepsy.
  • TL;DR: Machine learning for the detection of MRI changes associated to seizure occurrence in Traumatic Brain Injury patients.
  • Abstract: One common consequence of Traumatic Brain Injury (TBI) that causes significant disability amongst patient populations is post-traumatic epilepsy (PTE). In this work, we use machine learning approaches to reveal subtle brain changes in Magnetic Resonance Images (MRIs) which may serve as PTE biomarkers.
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