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

Corrigenda and Addenda (15) Infoveillance and Social Listening (209) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Autism Spectrum Disorder (ASD) (109) Diagnostic Tools in Mental Health (242)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59349, first published .
Addendum: Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study

Addendum: Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study

Addendum: Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study

Authors of this article:

Aditi Jaiswal1 Author Orcid Image ;   Aekta Shah2 Author Orcid Image ;   Christopher Harjadi3 Author Orcid Image ;   Erik Windgassen4 Author Orcid Image ;   Peter Washington1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Aditi Jaiswal   1 , MS ;   Aekta Shah   2 , PhD ;   Christopher Harjadi   3 ;   Erik Windgassen   4 ;   Peter Washington   1 , PhD

1 Department of Information and Computer Sciences, University of Hawaii at Manoa, Honolulu, HI, United States

2 Salesforce, San Francisco, CA, United States

3 Department of Computer Science, University of California, Berkeley, Berkeley, CA, United States

4 Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA, United States

Corresponding Author:

  • Peter Washington, PhD
  • Department of Information and Computer Sciences
  • University of Hawaii at Manoa
  • 1680 East-West Road
  • Honolulu, HI, 96822
  • United States
  • Phone: 1 8088296359
  • Email: pyw@hawaii.edu