Development and validation of a machine learning model to predict prognostic outcomes in infantile epileptic spasms syndrome.

In this study, the number of ASMs used correlated with unfavorable seizure outcomes in univariable analysis but did not reach statistical significance in multivariable analysis, potentially due to the relatively small sample size.

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These factors align with findings in previous studies, although some failed to reach statistical significance in the current analysis, likely due to factors such as sample size or study design limitations.

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