Predicting intubation risk among COVID-19 hospitalized patients using artificial neural networks
BACKGROUND: Accurately predicting the intubation risk in COVID-19 patients at the admission time is critical to optimal use of limited hospital resources, providing customized and evidence-based treatments, and improving the quality of delivered medical care services. This study aimed to design a st...
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| Main Authors: | , , |
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| Format: | Book |
| Published: |
Wolters Kluwer Medknow Publications,
2023-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |