Machine Learning Characterization of Ictal and Interictal States in EEG Aimed at Automated Seizure Detection.
Gaetano ZazzaroLuigi PavonePublished in: Biomedicines (2022)
This result suggests a strategy to discover clusters of similar patients, for which it would be possible to train a general-purpose model for seizure detection.
Keyphrases
- machine learning
- temporal lobe epilepsy
- end stage renal disease
- ejection fraction
- newly diagnosed
- loop mediated isothermal amplification
- chronic kidney disease
- label free
- real time pcr
- prognostic factors
- artificial intelligence
- peritoneal dialysis
- functional connectivity
- working memory
- big data
- high speed
- patient reported
- single cell