Vitamin D deficiency and SARS‑CoV‑2 infection: D-COVID study

D-COVID is a proyect to study the association between COVID-19 infection and vitamin D deficiency in patients of a terciary university hospital. To investigate the clinical evolution and prognosis of patients with COVID-19 and vitamin D deficiency, several queries qere launched into a Database containing plain text apparitions of certain terms in medical reports, as well as structured data. These apparitions were detected using NLP technology, and then saved individually in a database. The presented dataset is a bounded version of such database, containing only relevant data to the one extracted for the associated study. As for the strcture of the dataset, each row represents an apparition of a term in plain text, and the columns contain additional information. <strong>- reportdate</strong>: date of the report where the term appears up. <strong>- admission_days:</strong> strctured data days in hospitalization, if any. <strong>- patient_id</strong>: anonymized patient identifier <strong>- sex</strong>: patient sex (1=male, 2=female) <strong>-birthdate</strong>: patient birthdate <strong>- service</strong>: Service where the report was generated <strong>- report_type:</strong> Type of report generated (either a discharge report, note, etc) <strong>- record</strong>: unique identifier for the report itself <strong>- term</strong>: term (that was read (NLP takes synonims and acronyms into account) <strong>- exitus</strong>: medical exitus, if available in structured data, it could also be found in plan text in the previous column.