@Article{info:doi/10.2196/50652,
author="Klein, Ari Z
and Guti{\'e}rrez G{\'o}mez, Jos{\'e} Agust{\'i}n
and Levine, Lisa D
and Gonzalez-Hernandez, Graciela",
title="Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers",
journal="J Med Internet Res",
year="2024",
month="Mar",
day="25",
volume="26",
pages="e50652",
keywords="natural language processing; machine learning; data mining; social media; Twitter; pregnancy; epidemiology; developmental disabilities; asthma",
issn="1438-8871",
doi="10.2196/50652",
url="https://www.jmir.org/2024/1/e50652",
url="https://doi.org/10.2196/50652",
url="http://www.ncbi.nlm.nih.gov/pubmed/38526542"
}