Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study
BackgroundFor the clinical care of patients with well-established diseases, randomized trials, literature, and research are supplemented with clinical judgment to understand disease prognosis and inform treatment choices. In the void created by a lack of clinical experience with COVID-19, artificial...
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Main Authors: | Sang, Shengtian (Author), Sun, Ran (Author), Coquet, Jean (Author), Carmichael, Harris (Author), Seto, Tina (Author), Hernandez-Boussard, Tina (Author) |
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Format: | Book |
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JMIR Publications,
2021-02-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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