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Using Social Media to Help Understand Patient-Reported Health Outcomes of Post-COVID-19 Condition: N...

Using Social Media to Help Understand Patient-Reported Health Outcomes of Post-COVID-19 Condition: N...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10510753

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

About this item

Full title

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

Publisher

Canada: Journal of Medical Internet Research

Journal title

Journal of medical Internet research, 2023-09, Vol.25 (2), p.e45767-e45767

Language

English

Formats

Publication information

Publisher

Canada: Journal of Medical Internet Research

More information

Scope and Contents

Contents

While scientific knowledge of post-COVID-19 condition (PCC) is growing, there remains significant uncertainty in the definition of the disease, its expected clinical course, and its impact on daily functioning. Social media platforms can generate valuable insights into patient-reported health outcomes as the content is produced at high resolution b...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10510753

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10510753

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/45767

How to access this item