Publications by authors named "Victor Alfonso Rodriguez"

Article Synopsis
  • - The study aims to create and test predictive models to help forecast severe outcomes (like need for mechanical ventilation, renal therapy, and hospital readmission) for COVID-19 patients, thereby aiding in hospital resource management.
  • - Using data from 2,256 patients, the researchers developed three classes of models, achieving promising predictive accuracy, with area under the curve values ranging from 0.743 to 0.871 for different outcomes in a separate validation set of 855 patients.
  • - The models demonstrated good calibration and used clinically relevant features, showing their potential in providing reliable prognosis for health facilities dealing with resource constraints during the COVID-19 pandemic.
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