This paper is in the following e-collection/theme issue:

Children and Youth with Disabilities (41) Clinical Informatics (661) Autism Spectrum Disorder (ASD) (83) Machine Learning (1122) Artificial Intelligence (832)

Published on in Vol 5 , No 2 (2022) :Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35406, first published .
Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study

Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study

Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study

Authors of this article:

Nathan A Chi 1 Author Orcid Image ;   Peter Washington 2 Author Orcid Image ;   Aaron Kline 1 Author Orcid Image ;   Arman Husic 1 Author Orcid Image ;   Cathy Hou 3 Author Orcid Image ;   Chloe He 4 Author Orcid Image ;   Kaitlyn Dunlap 1 Author Orcid Image ;   Dennis P Wall 1, 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (22) Metrics

Journals

  1. Sleiman E, Mutlu O, Surabhi S, Husic A, Kline A, Washington P, Wall D. Deep Learning-Based Autism Spectrum Disorder Detection Using Emotion Features From Video Recordings (Preprint). JMIR Biomedical Engineering 2022 View
  2. Banerjee A, Mutlu O, Kline A, Surabhi S, Washington P, Wall D. Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study. JMIR Formative Research 2023;7:e39917 View