Background: The authors investigated a panel of novel biomarkers for diagnosis and prognosis assessment of sepsis usingmachine learning (ML) methods. Methods: Hematological parameters, liver function
BackgroundOwing to the complex pathophysiological features and heterogeneity of sepsis, current diagnostic methods are not sufficiently precise or timely, causing a delay in treatment. It has been sug
Background: Patients with acute heart failure (AHF) who require continuous renal replacement therapy (CRRT) have a high risk of in-hospital mortality. It is clinically important to screen high-risk pa
