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

Research Letter (62) Machine Learning (2202) Infodemiology and Infoveillance (1588) Artificial Intelligence (2310) Autism Spectrum Disorder (ASD) (149) Attention Deficit Disorder (ADD/ADHD) (95)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50652, first published .
Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers

Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers

Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers

Authors of this article:

Ari Z Klein1 Author Orcid Image ;   José Agustín Gutiérrez Gómez2 Author Orcid Image ;   Lisa D Levine3 Author Orcid Image ;   Graciela Gonzalez-Hernandez4 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Ferawati K, She W, Wakamiya S, Aramaki E. Comparison of Mask-Wearing Behavior on Social Media and Its Relationship to Demographic Characteristics During the Pandemic: A Social Media Data Analysis between the United States and Japan (Preprint). JMIR Human Factors 2025 View

Books/Policy Documents

  1. Popescu F, Dramburg S. Digital Allergology. View