Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis.

Journal: Journal of medical Internet research
Published Date: Dec 11, 2024

Abstract

BACKGROUND: Real-time monitoring of pediatric epileptic seizures poses a significant challenge in clinical practice. In recent years, machine learning (ML) has attracted substantial attention from researchers for diagnosing and treating neurological diseases, leading to its application for detecting pediatric epileptic seizures. However, systematic evidence substantiating its feasibility remains limited.

Authors

  • Zhuan Zou
    Department of Emergency, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Bin Chen
    Department of Otorhinolaryngology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai 200233, China.
  • Dongqiong Xiao
    Department of Emergency, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Fajuan Tang
    Department of Emergency, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Xihong Li
    Department of Emergency, West China Second University Hospital, Sichuan University, Chengdu, China.

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