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Karoly et al. lay the groundwork for a Bayesian seizure forecasting framework. A Bayesian approach allows for the inclusion of prior information about patients' individual seizure likelihood. The presented framework incorporates patient-specific circadian patterns of seizure occurrences to improve forecasts.