Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The miRNA-coordinated synergism for placental gene regulation throughout pregnancy.

Molecular human reproduction·2026
Same author

Prenatal stress, intimate partner violence and maternal cortisol trajectories: insights from a prospective birth cohort from São Paulo, Brazil.

Scientific reports·2026
Same author

Using Radiomic Features to Detect Anatomical Errors and Assess Deep Learning-Based Left Ventricle Segmentation in Cardiac MRI.

Journal of imaging informatics in medicine·2026
Same author

Sperm sncRNA networks are synchronized by a coordination between adverse childhood experiences (ACE) and current stress.

Scientific reports·2026
Same author

Occurrence and persistence of carbapenem-resistant Klebsiella pneumoniae complex in urban rivers of the São Paulo metropolitan region.

Journal of applied microbiology·2026
Same author

Predicting VRE Infection After Liver Transplantation With a Time-Updated Colonization Score.

Transplant infectious disease : an official journal of the Transplantation Society·2026

Related Experiment Video

Updated: Jul 8, 2025

Eye Tracking Young Children with Autism
09:03

Eye Tracking Young Children with Autism

Published on: March 27, 2012

45.6K

Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal.

Felipe O Franco1,2, Jessica S Oliveira3, Joana Portolese4

  • 1Interunit PostGraduate Program on Bioinformatics, Institute of Mathematics and Statistics (IME), University of São Paulo (USP), 05508-090, São Paulo, SP, Brazil. franco@ime.usp.br.

BMC Medical Informatics and Decision Making
|December 15, 2023
PubMed
Summary

Visual Attention Models (VAMs) using eye-tracking signals show promise for Autism Spectrum Disorder (ASD) diagnosis. A new Random Forest algorithm significantly improved classification accuracy compared to previous methods, aiding ASD identification.

Failed At:

2026-06-19T13:40:31.957244+00:00

Keywords:
Autism spectrum disorderClassifierEye-trackingMachine learningReplicability

More Related Videos

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos
05:32

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos

Published on: December 7, 2018

9.0K
Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism
06:15

Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism

Published on: October 3, 2018

7.8K

Related Experiment Videos

Last Updated: Jul 8, 2025

Eye Tracking Young Children with Autism
09:03

Eye Tracking Young Children with Autism

Published on: March 27, 2012

45.6K
Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos
05:32

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos

Published on: December 7, 2018

9.0K
Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism
06:15

Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism

Published on: October 3, 2018

7.8K