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Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia
BACKGROUND: To develop machine learning classifiers at admission for predicting which patients with coronavirus disease 2019 (COVID-19) who will progress to critical illness. METHODS: A total of 158 patients with laboratory-confirmed COVID-19 admitted to three designated hospitals between December 3...
Shranjeno v:
| izdano v: | J Thorac Dis |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
AME Publishing Company
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7947498/ https://ncbi.nlm.nih.gov/pubmed/33717594 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/jtd-20-2580 |
| Oznake: |
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