Health AI Central
Peer-Reviewed Publication
medRxiv2024May 16, 2024Preprint

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

Chi-Yuan Chang1,2, Boyu Zhang3,4,5, Robert Moss6, Rosalind Picard3,4, M Brandon Westover1,2, Daniel Goldenholz1,2
1Harvard Medical School, Boston MA.
2Beth Israel Deaconess Medical Center, Boston, MA.
3Massachusetts Institute of Technology, Cambridge, MA.
4Empatica USA, Cambridge, MA.
5Brigham and Women's Hospital, Boston, MA.
6Seizure Tracker LLC, Springfield, VA.
PubMed PMC DOI PDF

Abstract

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…

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