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

Natural Language Processing (765) Machine Learning (1631) Infodemiology and Infoveillance (1424) Pulmonology, COPD (158) Peer-to-Peer Support and Online Communities (690) Infoveillance and Social Listening (226) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1742) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1074)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26272, first published .
A Neural Network Approach for Understanding Patient Experiences of Chronic Obstructive Pulmonary Disease (COPD): Retrospective, Cross-sectional Study of Social Media Content

A Neural Network Approach for Understanding Patient Experiences of Chronic Obstructive Pulmonary Disease (COPD): Retrospective, Cross-sectional Study of Social Media Content

A Neural Network Approach for Understanding Patient Experiences of Chronic Obstructive Pulmonary Disease (COPD): Retrospective, Cross-sectional Study of Social Media Content

Authors of this article:

Tobe Che Benjamin Freeman1, 2 Author Orcid Image ;   Raul Rodriguez-Esteban1 Author Orcid Image ;   Juergen Gottowik1 Author Orcid Image ;   Xing Yang3 Author Orcid Image ;   Veit Johannes Erpenbeck4 Author Orcid Image ;   Mathias Leddin1 Author Orcid Image
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New JMIR MedInform: A Neural Network Approach for Understanding #patient Experiences of Chronic Obstructive Pulmona… https://t.co/lMlgP8ElBr

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RT @jmirpub: New JMIR MedInform: A Neural Network Approach for Understanding #patient Experiences of Chronic Obstructive Pulmonary Disease…

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