Comprehensively identifying Long Covid articles with human-in-the-loop machine learning
Author:
Funder
National Institutes of Health
U.S. National Library of Medicine
Publisher
Elsevier BV
Subject
General Decision Sciences
Reference48 articles.
1. LitCovid: an open database of COVID-19 literature;Chen;Nucleic Acids Res.,2021
2. Keep up with the latest coronavirus research;Chen;Nature,2020
3. LitCovid in 2022: an information resource for the COVID-19 literature;Chen;Nucleic Acids Res.,2022
4. How and why patients made Long Covid;Callard;Soc. Sci. Med.,2021
5. Characterizing long COVID in an international cohort: 7 months of symptoms and their impact;Davis;EClinicalMedicine,2021
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1. A survey on the role of artificial intelligence in managing Long COVID;Frontiers in Artificial Intelligence;2024-01-11
2. Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing framework;Scientific Reports;2024-01-02
3. Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII;Database;2023-01-01
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