STATE-OF-THE-ART OF MACHINE LEARNING IN NEURO DEVELOPMENT DISORDER: A SYSTEMATIC REVIEW

STATE-OF-THE-ART OF MACHINE LEARNING IN NEURO DEVELOPMENT DISORDER: A SYSTEMATIC REVIEW

This paper presents a comprehensive literature review focusing on the utilization of machine learning (ML) and deep learning (DL) methods for predicting and detecting Neurodevelopmental Disorders (NDDs), such as Intellectual Disability (ID), Autism Spectrum Disorder (ASD), Attention Deficit Hyperact...

Full description

Saved in:
Bibliographic Details
Main Authors: Lilian Yen Wei Lee, Ag Asri Ag Ibrahim, Rayner Alfred
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2025-03-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
detection
prediction
classification
deep learning
machine learning
mental health
neuro development disorder
Online Access:https://www.jjcit.org/?mno=196549
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.jjcit.org/?mno=196549

Similar Items