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Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record
A wealth of important clinical information lies untouched in the Electronic Health Record, often in the form of unstructured textual documents.
Quantifying interictal intracranial EEG to predict focal epilepsy
The spatial dispersion of IEEG electrodes predicted network focality with precision similar to the 5SS (AUC = 0. 67), indicating that electrode placement accurately reflected pre-implant information.
RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring
Objective: Continuous EEG (cEEG) monitoring is associated with lower mortality in critically ill patients, however it is underutilized due to the difficulty of manually interpreting prolonged streams of cEEG data.
Modeling the Complex Dynamics and Changing Correlations of Epileptic Events
A goal of our work is to parse these complex epileptic events into distinct dynamic regimes.
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