Dataset de Zenodo · Medina Florez, Juan Andres
Long COVID SDOH NER
- Licencia
- CC BY 4.0uso comercial permitidoTexto de la licencia
- Esta licencia permite el uso comercial. Normalmente hay que citar al autor; consulta la licencia para ver las condiciones exactas.
- Formatos
- PARQUET
- Tamaño
- 30 MB
- Actualizado
- 15 jun 2025
Descripción
This dataset contains text for over 7,000 case report sections in academic papers related to Post COVID-19 Condition (PCC), also known as Long COVID. It is comprised of three columns: 'Token,' 'entity type,' and 'case report id.' There are over 3.4 million observations in total. Entity types are presented in CoNLL format and relate to sociodemographic, behavioral and selected biomedical dimensions relevant to PCC. There are 27 core entity types (53 in CoNLL): ‘Access To Care,’ ‘Age,’ ‘Condition,’ ‘Diet,’ ‘Disability,’ ‘Education,’ ‘Employment,’ ‘Exercise,’ ‘Family Member,’ ‘Gender,’ ‘Geographic Entity,’ ‘Housing,’ ‘Income,’ ‘Insurance Status,’ ‘Language,’ ‘Marital Status,’ ‘Mental Health,’ ‘Race Ethnicity,’ ‘Severity,’ ‘Sexual Orientation,’ ‘Social Support,’ ‘Spiritual Beliefs,’ ‘Substance,’ ‘Treatment,’ ‘Vaccine,’ ‘Violence Or Abuse,’ and ‘O’ (non-entity). The…
Descripción de Zenodo, abreviada.
Archivos (2)
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