Back to search

Article

Using Social Media to Help Understand Long COVID Patient Reported Health Outcomes: A Natural Language Processing Approach

2022-12-16

Abstract excerpt

<h4>Background</h4> There remains significant uncertainty in the definition of the long COVID 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 by patients and caregivers, representing experiences that may be unavailable to most clinicians. <h4>Objectiv...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5cb99d89-bb4d-584f-af92-7bdd099d1647
DOI
10.1101/2022.12.14.22283419
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Using Social Media to Help Understand Long COVID Patient Reported Health Outcomes: A Natural Language Processing ApproachDOI 10.1101/2022.12.14.22283419
Select a neighboring publication to make it the new centre.