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Discretionary Corrigenda (99)

Published on in Vol 25 (2023)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55010, first published .
Figure Correction: Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach

Figure Correction: Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach

Figure Correction: Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach

Authors of this article:

Elham Dolatabadi1, 2, 3 Author Orcid Image ;   Diana Moyano2 Author Orcid Image ;   Michael Bales4 Author Orcid Image ;   Sofija Spasojevic4 Author Orcid Image ;   Rohan Bhambhoria5 Author Orcid Image ;   Junaid Bhatti6 Author Orcid Image ;   Shyamolima Debnath7 Author Orcid Image ;   Nicholas Hoell7 Author Orcid Image ;   Xin Li3 Author Orcid Image ;   Celine Leng4 Author Orcid Image ;   Sasha Nanda7 Author Orcid Image ;   Jad Saab8 Author Orcid Image ;   Esmat Sahak3 Author Orcid Image ;   Fanny Sie4 Author Orcid Image ;   Sara Uppal8 Author Orcid Image ;   Nirma Khatri Vadlamudi9 Author Orcid Image ;   Antoaneta Vladimirova10 Author Orcid Image ;   Artur Yakimovich11 Author Orcid Image ;   Xiaoxue Yang7 Author Orcid Image ;   Sedef Akinli Kocak2 Author Orcid Image ;   Angela M Cheung3, 12 Author Orcid Image
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New in JMIR: Figure Correction: Using #SocialMedia #hcsm #SoMe to Help Understand ##Patient-Reported Health Outcomes of Post–#COVID19 #coronavirus Condition: Natural Language Processing Approach https://t.co/t0yhAIDjEl

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Figure Correction: Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach https://t.co/YwaTDOf3Rl

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