How accurate are machine learning models in predicting anti-seizure medication responses: A systematic review.

Journal: Epilepsy & behavior : E&B
PMID: 39673992

Abstract

IMPORTANCE: Current epilepsy management protocols often depend on anti-seizure medication (ASM) trials and assessment of clinical response. This may delay the initiation of the ASM regimen that might optimally balance efficacy and tolerability for individual patients. Machine learning (ML) can offer a promising tool for efficiently predicting ASM response.

Authors

  • Ahmed Abdaltawab
    Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Electronic address: ama632@pitt.edu.
  • Lin-Ching Chang
  • Mohammed Mansour
    Mechatronics Engineering Department, Sakarya University of Applied Sciences, Serdivan, Sakarya, Türkiye.
  • Mohamad Koubeissi
    Department of Neurology and Rehabilitation Medicine, George Washington University, Washington, DC 20037, USA.

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