Cleveland Clinic researchers showed that predictive models using data derived from basic metabolic laboratory panels could accurately predict acute kidney injury within 72 hours and 14 days of cardiac surgery. They reported their findings in JAMA.
A new risk model that uses the National Cancer Database can help guide clinical care for endometrioid endometrial cancer.
A study of a nomogram to predict seizure recurrence after epilepsy surgery will be expanded to help define risk for seizures, stroke and delirium among COVID-19-positive individuals.
A Cleveland Clinic-developed prediction model has been validated for use to help physicians identify which patients with COVID-19 are at greatest risk to require hospital admission.
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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.
The field of diabetes management is seeing rapid innovation. Find out how your patients may benefit from sophisticated risk prediction modeling and machine learning systems.