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Prospective validation of a seizure diary forecasting falls short.

Daniel M GoldenholzCelena EcclestonRobert MossM Brandon Westover
Published in: medRxiv : the preprint server for health sciences (2024)
A previously developed e-diary based AI seizure forecasting tool was prospectively tested. Although by some metrics the tool was successful, the overall AI performance was unacceptably low.It was much easier to outperform a random forecast; it was much harder to outperform a moving average forecast.Using unverified diaries can skew forecasting metrics in favor of underperforming tools.
Keyphrases
  • artificial intelligence
  • temporal lobe epilepsy
  • machine learning