A systematic review on machine learning approaches in cerebral palsy research.

Journal: PeerJ
Published Date: Oct 18, 2024

Abstract

BACKGROUND: This review aims to explore advances in the field of cerebral palsy (CP) focusing on machine learning (ML) models. The objectives of this study is to analyze the advances in the application of ML models in the field of CP and to compare the performance of different ML algorithms in terms of their effectiveness in CP identification, classifying CP into its subtypes, prediction of abnormalities in CP, and its management. These objectives guide the review in examining how ML techniques are applied to CP and their potential impact on improving outcomes in CP research and treatment.

Authors

  • Anjuman Nahar
    Department of Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, India.
  • Sudip Paul
    a Department of Biomedical Engineering , North Eastern Hill University , Meghalaya , India ;
  • Manob Jyoti Saikia
    Electrical and Computer Engineering Department, University of Memphis, Memphis, TN, United States.

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