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

Research Letter (48) Machine Learning (1770) Infodemiology and Infoveillance (1468) Artificial Intelligence (1779) Autism Spectrum Disorder (ASD) (132) Attention Deficit Disorder (ADD/ADHD) (78)

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 (1) Tweetations (6) Metrics
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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Using Longitudinal #Twitter Data for #Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers https://t.co/oliIEFFYQv https://t.co/QgIdeZZzir

3:10 PM · Mar 25, 2024

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Using Longitudinal #Twitter Data for #Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set an…

3:11 PM · Mar 25, 2024

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Tom Bellis Tom Bellis @tommybellis

Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers https://t.co/QDfLmIwPcq https://t.co/bzRTJRLncj

3:48 PM · Mar 25, 2024

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Yann Le Strat Yann Le Strat @YannLe_Strat

Utiliser tweeter pour la recherche: Ici, une idée: cherchez les tweets de femmes parlant de leur grossesse, puis regarder lesquels parlent de #TDAH quelques années plus tard. On peut le faire à la main, ou entrainer une IA à le faire...voire à le prédire? https://t.co/sQmVBceJWr

5:01 AM · Mar 31, 2024

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Penn Medicine CSO Penn Medicine CSO @PennMedCSO

New research demonstrates the potential use of Twitter as a complementary resource for assessing associations between pregnancy exposures & childhood health outcomes on a large scale ft. Ari Klein (@UPennDBEI) & @LisaObdoc (@PennOBGYN) https://t.co/Jg1oHVwmyA https://t.co/pRDmQGIC4N

4:25 PM · May 02, 2024

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Penn Medicine OBGYN Department Penn Medicine OBGYN Department @PennOBGYN

RT @PennMedEVDCSO: New research demonstrates the potential use of Twitter as a complementary resource for assessing associations between pr…

7:56 PM · May 02, 2024

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