Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study
BackgroundAutism spectrum disorder (ASD) is a neurodevelopmental disorder that results in altered behavior, social development, and communication patterns. In recent years, autism prevalence has tripled, with 1 in 44 children now affected. Given that traditional diagnosis is a lengthy, labor-intensi...
Saved in:
Main Authors: | Nathan A Chi (Author), Peter Washington (Author), Aaron Kline (Author), Arman Husic (Author), Cathy Hou (Author), Chloe He (Author), Kaitlyn Dunlap (Author), Dennis P Wall (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2022-04-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks
by: Washington, Peter, et al.
Published: (2019) -
Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study
by: Peter Washington, et al.
Published: (2022) -
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health
by: Peter Washington
Published: (2024) -
An Autoencoder-Based Deep Learning Classifier for Efficient Diagnosis of Autism
by: Harshini Sewani, et al.
Published: (2020) -
Acceptability of Telelactation Services for Breastfeeding Support Among Black Parents: Semistructured Interview Study
by: Khadesia Howell, et al.
Published: (2023)