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Development of a machine learning model and nomogram to predict seizures in children with COVID-19: a two-center study.

Yu-Qi LiuWei-Hua YuanYue TaoLian ZhaoWan-Liang Guo
Published in: Journal of tropical pediatrics (2024)
Our research indicates that the RF model demonstrates excellent performance in predicting seizures, and our novel nomogram can facilitate clinical decision-making and potentially offer benefit for clinicians to prevent and treat seizures in children with COVID-19.
Keyphrases
  • coronavirus disease
  • sars cov
  • machine learning
  • young adults
  • decision making
  • lymph node metastasis
  • squamous cell carcinoma
  • artificial intelligence
  • respiratory syndrome coronavirus