Monitoring Covid-19 on social media using a novel triage and diagnosis approach. (arXiv:2103.11850v4 [cs.CL] UPDATED)

Objective: This study aims to develop an end-to-end natural language
processing pipeline for triage and diagnosis of COVID-19 from patient-authored
social media posts, in order to provide researchers and public health
practitioners with additional information on the symptoms, severity and
prevalence of the disease rather than to provide an actionable decision at the
individual level. Materials and Methods: The text processing pipeline first
extracts COVID-19 symptoms and related concepts such as severity, duration,
negations, and body parts from patients' posts …

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