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Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables
Objective: This study aimed to develop a machine learning algorithm to identify key clinical measures to triage patients more effectively to general admission versus intensive care unit (ICU) admission and to predict mortality in COVID-19 pandemic. Materials and methods: This retrospective study con...
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| 出版年: | Int J Med Sci |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Ivyspring International Publisher
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7976594/ https://ncbi.nlm.nih.gov/pubmed/33746590 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7150/ijms.51235 |
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