Can we predict anti-seizure medication response in focal epilepsy using machine learning?

Journal: Clinical neurology and neurosurgery
PMID: 34800813

Abstract

OBJECTIVE: The aim of this study was to evaluate the feasibility of machine learning approach based on clinical factors and diffusion tensor imaging (DTI) to predict anti-seizure medication (ASM) response in focal epilepsy. We hypothesized that ASM response in focal epilepsy can be predicted using a machine learning approach.

Authors

  • Dong Ah Lee
    Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.
  • Ho-Joon Lee
    Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Bong Soo Park
    Department of Oral Anatomy, School of Dentistry, Pusan National University, Yangsan, Korea.
  • Yoo Jin Lee
    Department of Internal Medicine.
  • Kang Min Park
    Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea. Electronic address: smilepkm@hanmail.net.

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