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

Research Letter (38) Machine Learning (1501) Infodemiology and Infoveillance (1369) Artificial Intelligence (1421) Autism Spectrum Disorder (ASD) (112) Attention Deficit Disorder (ADD/ADHD) (64)

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 Tweetations (6) Metrics

Ari Z Klein   1 , PhD ;   José Agustín Gutiérrez Gómez   2 , MD ;   Lisa D Levine   3 , MD ;   Graciela Gonzalez-Hernandez   4 , PhD

1 Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Department of Health Sciences, University of Monterrey, San Pedro Garza García, Nuevo León, Mexico

3 Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

4 Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, United States

Corresponding Author:

  • Graciela Gonzalez-Hernandez, PhD
  • Department of Computational Biomedicine
  • Cedars-Sinai Medical Center
  • Pacific Design Center, Ste G549F
  • 700 N San Vicente Blvd
  • West Hollywood, CA, 90069
  • United States
  • Phone: 1 310-423-3521
  • Email: Graciela.GonzalezHernandez@csmc.edu