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Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables
BACKGROUND: This study aimed to develop a deep-learning model and a risk-score system using clinical variables to predict intensive care unit (ICU) admission and in-hospital mortality in COVID-19 patients. METHODS: This retrospective study consisted of 5,766 persons-under-investigation for COVID-19...
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| Yayımlandı: | PeerJ |
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| Asıl Yazarlar: | , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
PeerJ Inc.
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7651477/ https://ncbi.nlm.nih.gov/pubmed/33194455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.10337 |
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