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

Proposals (eHealth) (83) Machine Learning (1829) Artificial Intelligence (1838) Crowdsourcing and Mechanical Turks (101) Decision Support for Health Professionals (1392) Diagnostic Tools in Mental Health (288) Autism Spectrum Disorder (ASD) (132)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52205, first published .
Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study

Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study

Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study

Authors of this article:

Aditi Jaiswal1 Author Orcid Image ;   Ruben Kruiper1 Author Orcid Image ;   Abdur Rasool1 Author Orcid Image ;   Aayush Nandkeolyar1 Author Orcid Image ;   Dennis P Wall2, 3, 4 Author Orcid Image ;   Peter Washington1 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Arimoto Y, Oishi D, Okubo M. A comparison between crowdsourcing and in-person listening tests on emotion rating for spontaneous screams and shouts. Acoustical Science and Technology 2025;46(2):125 View
  2. Bruschetta R, Caruso A, Micai M, Campisi S, Tartarisco G, Pioggia G, Scattoni M. Marker-Less Video Analysis of Infant Movements for Early Identification of Neurodevelopmental Disorders. Diagnostics 2025;15(2):136 View
  3. Ahmed S, Sakib M, Dey S. Understanding the Impact of YouTube Videos on Parents of Children with Developmental Delay and Disabilities. Proceedings of the ACM on Human-Computer Interaction 2025;9(1):1 View
  4. Bendimered A, Cherif R, Iguernaissi R, Nawaf M, Thümmler S, Dubuisson S, Merad D. The Feasibility of RGB-D Gaze Intention Measurement in Children with Autism Using Azure Kinect. Bioengineering 2025;12(4):370 View
  5. Ul Ain Q, Jawed S, Rauf Subhani A, Haider Butt W, Usman Akram M. Examining AI-Powered ADHD Diagnosis: Current Trends, Key Challenges, and Future Directions in the Field. IEEE Access 2025;13:93148 View

Conference Proceedings

  1. Jaiswal A, Wall D, Washington P. 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Challenges in the Differential Classification of Individual Diagnoses from Co-Occurring Autism and ADHD Using Survey Data View
  2. Sai Reddy Beedareddy J, Shai Datta Kolli S, Scheer H. 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Using LLMs to Analyze Antecedent, Behavior and Consequence Narrative Recordings in Behavioral Health Science View