In March 2020, the mortality rates of patients with COVID-19 at Cleveland Clinic were significantly higher than non-COVID patients. But by June 2020, there was no statistical difference between the patient groups. Critical care physicians discuss the system-wide strategies likely attributable to these improved outcomes.
It can be difficult for clinicians and patients to predict when an acute asthma exacerbation might occur. Machine learning can help change that, according to one new Cleveland Clinic study.
Accurate prediction of a positive COVID-19 test using a statistical model is possible and could help better direct healthcare resources. So concludes a new Cleveland Clinic study of nearly 12,000 tested individuals.