Assessment of heart rate variability response in children with autism spectrum disorder using machine learning
Autism spectrum disorder (ASD) is a developmental disability that involves persistent challenges in social interaction, communication and behaviour. The purpose of this study is to apply a machine learning approach to differentiate between autistic and normal children and to evaluate the performance...
Saved in:
Main Authors: | Salleh, Noor Aimie, Mtawea, Nour E., Liaw, Chiew Yii, Cheng, Xia Ge, Bah, Aaisha Negeh, Lim, Kai Ling, Nasser, Alqahtani Abrar, Al Haddad, Mawadah Adel Yahya, Azaman, Aizreena, Mohamad, Mohd. Riduan, Md. Ashari, Umar Mahfudz |
---|---|
Format: | Article |
Published: |
Penerbit UTHM
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/101295/ http://dx.doi.org/10.30880/ijie.2022.14.02.005 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CDIO project on MaViCo heat compress for tackwondo players
by: Bah, Aaisha Negeh, et al.
Published: (2020) -
Electromagnetic flux modelling of AC field over planar microarray dot electrodes used in rapid dielectrophoretic lab-on-chip device / Aizreena Azaman
by: Aizreena , Azaman
Published: (2012) -
Micronutrients and autism spectrum disorder
by: Dzulkifli, Mariam Adawiah
Published: (2022) -
Muscle fibre type classification technique: a review
by: Aizreena Azaman, Azli Yahya
Published: (2018) -
Factors associated with autism severity in children with autism spectrum disorder at an autism intervention center in Kuala Lumpur, Malaysia
by: Eow, Shiang Yen
Published: (2019)