Skup podataka sa Zenodo · Leaman, Robert
Long Covid collection
- Licenca
- CC BY 4.0dozvoljena komercijalna upotrebaTekst licence
- Licenca dozvoljava komercijalnu upotrebu. Obično treba navesti autora — tačni uslovi su u tekstu licence.
- Formati
- GZ
- Veličina
- 126 MB
- Ažurirano
- 10. 11. 2022.
Opis
A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of SARS-CoV-2 infection. However, identifying scientific articles relevant to Long Covid is challenging since there is no standardized or consensus terminology. We developed an iterative human-in-the-loop machine learning framework combining data programming with active learning into a robust ensemble model, demonstrating higher specificity and considerably higher sensitivity than other methods. This dataset contains current and historical releases of the Long Covid collection, which is updated weekly. The current release is searchable online at the LitCovid portal: https://www.ncbi.nlm.nih.gov/research/coronavirus/docsum?filters=e condition.LongCovid
Opis sa Zenodo, skraćen.
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