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

E Dolatabadi, D Moyano, M Bales, S Spasojevic… - Journal of Medical …, 2023 - jmir.org
Background 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 …

Automatic extraction of medication mentions from tweets—overview of the biocreative VII shared task 3 competition

D Weissenbacher, K O'Connor, S Rawal, Y Zhang… - Database, 2023 - academic.oup.com
This study presents the outcomes of the shared task competition BioCreative VII (Task 3)
focusing on the extraction of medication names from a Twitter user's publicly available …

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

E Dolatabadi, D Moyano, M Bales, S Spasojevic… - medRxiv, 2022 - medrxiv.org
Background There remains significant uncertainty in the definition of the long COVID
disease, its expected clinical course, and its impact on daily functioning. Social media …

[引用][C] BioCreative VII–Task 3: automatic extraction of medication names in tweets

D Weissenbacher, K O'Connor, S Rawal… - BioCreative VII Workshop, 2021