At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with methodological limitations. It is highly important t...
| المؤلفون الرئيسيون: | , , , , , , , , , |
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| التنسيق: | Journal article |
| اللغة: | English |
| منشور في: |
Nature Research
2024
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