Article

Necessary for seizure forecasting outcome metrics: seizure frequency and benchmark model

2024-05-16

Abstract excerpt

Work is ongoing to advance seizure forecasting, but the performance metrics used to evaluate model effectiveness can sometimes lead to misleading outcomes. For example, some metrics improve when tested on patients with a particular range of seizure frequencies (SF). This study illustrates the connection between SF and metrics. Additionally, we compared benchmarks for testing performance: a moving average (MA) or t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1c17a887-de5b-5b44-9091-6d3d71f925ca
DOI: 10.1101/2024.05.15.24307446

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Necessary for seizure forecasting outcome metrics: seizure frequency and benchmark modelDOI 10.1101/2024.05.15.24307446Read

Forecasting Cycles of Seizure LikelihoodSemantic proximity Read

Association between Interictal Spike Rate and Seizure Frequency in a Large Epilepsy CohortSemantic proximity Read

Real-Time EEG-Based Epileptic Seizure Prediction Using Artificial Intelligence: A Systematic ReviewSemantic proximity Read

A taxonomy of seizure dynamotypes.Semantic proximity Read

A multimodal AI system for out-of-distribution generalization of seizure detectionSemantic proximity Read

Automated analysis and detection of epileptic seizures in video recordings using artificial intelligenceSemantic proximity Read

Impact of Seizure Detectors on Treatment and Costs of EpilepsySemantic proximity Read

PAC – A novel translational concordance framework identifies preclinical seizure models with highest predictive validity for clinical focal onset seizuresSemantic proximity Read

Monitoring seizure cycles with seizure diariesSemantic proximity Read

Automatic Responsiveness Testing in Epilepsy with Wearable Technology: The ARTiE WatchSemantic proximity Read

Feature-Optimized Hybrid AI Models for Explainable and Generalizable Epilepsy PredictionSemantic proximity Read

Continental generalization of an AI system for clinical seizure recognitionSemantic proximity Read