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Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial
BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying patient decompensation. Machine learning (ML) may offer an alternative strategy. A prospectively validated me...
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| Pubblicato in: | Comput Biol Med |
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| Autori principali: | , , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
The Authors. Published by Elsevier Ltd.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7410013/ https://ncbi.nlm.nih.gov/pubmed/32798922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2020.103949 |
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