Cargando…
Early detection of COVID-19 outbreaks using textual analysis of electronic medical records
PURPOSE: Our objective was to develop a tool promoting early detection of COVID-19 cases by focusing epidemiological investigations and PCR examinations during a period of limited testing capabilities. METHODS: We developed an algorithm for analyzing medical records recorded by healthcare providers...
Autores principales: | Shapiro, Michael, Landau, Regev, Shay, Shahaf, Kaminsky, Marina, Verhovsky, Guy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347140/ https://www.ncbi.nlm.nih.gov/pubmed/35973330 http://dx.doi.org/10.1016/j.jcv.2022.105251 |
Ejemplares similares
-
Generating and evaluating a propensity model using textual features from electronic medical records
por: Afzal, Zubair, et al.
Publicado: (2019) -
Automatic de-identification of textual documents in the electronic health record: a review of recent research
por: Meystre, Stephane M, et al.
Publicado: (2010) -
Identifying Emerging Novel Outbreaks In Textual Emergency Department
Data
por: Nobles, Mallory, et al.
Publicado: (2015) -
Medical brochure as a textual genre
por: Ornia, Goretti Faya
Publicado: (2016) -
Nobody Dies Alone in the Electronic Patient Record—A Qualitative Analysis of the Textual Practices of Documenting Dying and Death
por: Hov, Laila, et al.
Publicado: (2021)