Polskie Archiwum Medycyny Wewnętrznej
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Pol. Arch. Med. Wewn. · May 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 in elderly populations. As the COVID‑19 pandemic is transitioning into an endemic phase, there is an unmet need for prognostic scores tailored to the population of patients hospitalized for this disease. ⋯ 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.