Cargando…
Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found t...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344569/ https://www.ncbi.nlm.nih.gov/pubmed/34227657 http://dx.doi.org/10.1093/bjs/znab183 |
Ejemplares similares
-
Comparison of perioperative stress in patients undergoing thyroid surgery with and without neuromonitoring—a pilot study
por: Babińska, Dominika, et al.
Publicado: (2016) -
The reproductive number of the Delta variant of SARS-CoV-2 is far higher compared to the ancestral SARS-CoV-2 virus
por: Liu, Ying, et al.
Publicado: (2021) -
Pitfalls in SARS‐CoV‐2 PCR diagnostics
por: Wernike, Kerstin, et al.
Publicado: (2020) -
Temporal signal and the phylodynamic threshold of SARS-CoV-2
por: Duchene, Sebastian, et al.
Publicado: (2020) -
Emerging phylogenetic structure of the SARS-CoV-2 pandemic
por: Fountain-Jones, Nicholas M, et al.
Publicado: (2020)