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

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.

Methodology

A total of 20 studies were identified on ML for CP from 2013 to 2023. Search Engines used during the review included electronic databases like PubMed for accessing biomedical an

SUBMITTER: Nahar A 

PROVIDER: S-EPMC11493061 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature