Polskie Archiwum Medycyny Wewnętrznej
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Pol. Arch. Med. Wewn. · Mar 2024
Predicting acute kidney injury onset using a random forest algorithm using electronic medical records of COVID-19 patients: the CRACoV-AKI model.
Acute kidney injury (AKI) is a serious and common complication of SARS-CoV-2 infection. Most risk assessment tools for AKI have been developed in the intensive care unit or elderly population. As the COVID-19 pandemic is transitioning into an endemic state, there is an unmet need for prognostic scores tailored to this population. ⋯ The CRACoV-AKI model enables AKI risk stratification among hospitalized patients with COVID-19. Machine learning-based tools may thus offer additional decision-making support for specialist providers.