Predicting efficacy of antiseizure medication treatment with machine learning algorithms in North Indian population.

Journal: Epilepsy research
Published Date: Jul 1, 2024

Abstract

PURPOSE: This study aimed to develop a classifier using supervised machine learning to effectively assess the impact of clinical, demographical, and biochemical factors in accurately predicting the antiseizure medications (ASMs) treatment response in people with epilepsy (PWE).

Authors

  • Mahima Kaushik
    Cluster Innovation Centre, University of Delhi, Delhi, India.
  • Siddhartha Mahajan
    Cluster Innovation Centre, University of Delhi, Delhi, India.
  • Nitin Machahary
    Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
  • Sarita Thakran
    Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
  • Saransh Chopra
    Cluster Innovation Centre, University of Delhi, Delhi, India.
  • Raj Vardhan Tomar
    Cluster Innovation Centre, University of Delhi, Delhi, India.
  • Suman S Kushwaha
    Department. of Neurology, Institute of Human Behaviour and Allied Sciences, Dilshad Garden, Delhi, India.
  • Rachna Agarwal
    Department of Ophthalmology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow.
  • Sangeeta Sharma
    Department. of Neurology, Institute of Human Behaviour and Allied Sciences, Dilshad Garden, Delhi, India.
  • Ritushree Kukreti
    Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
  • Bibhu Biswal
    Cluster Innovation Centre, University of Delhi, Delhi, India. Electronic address: bbiswal@cic.du.ac.in.

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