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

17 Apr 2019, 07:02 (modified: 13 Jul 2022, 20:46)MIDL Abstract 2019Readers: 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.
Code Of Conduct: I have read and accept the code of conduct.
Remove If Rejected: Remove submission from public view if paper is rejected.
3 Replies