Predictive model for initial response to first-line treatment in children with infantile epileptic spasms syndrome.

ABSTRACT:

Background

Previous studies have suggested that factors such as the treatment interval and aetiology may influence the initial response rate to first-line treatment for infantile epileptic spasms syndrome (IESS). However, few children with IECSS have undergone clinically accessible tests to determine the aetiology.

Methods

Using a dataset from our previously published research, we constructed and tested a predictive model for the initial response to first-line treatment in children with IESS. Random sampling and 5-fold cross-validation were performed, with synthetic minority oversampling technique to correct data imbalance. Machine learning algorithms and evaluation metrics optimised model accuracy and efficacy.

Results

This study included 532 children with IESS who h

SUBMITTER: Ge W 

PROVIDER: S-EPMC11993986 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature