For people hospitalized with COVID-19, two new risk-prediction tools, tested in part using the NCATS National COVID Cohort Collaborative (N3C), could help clinicians make faster, better treatment decisions. The tools use a patient’s age and five common lab tests to analyze their risk of death more rapidly and accurately.
Scientists at Rutgers University reviewed health records from 969 adults hospitalized with COVID-19 from March to May 2020. The researchers used machine learning to examine 77 patient-health variables and find optimal combinations that best predicted severe COVID-19 outcomes…
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