Several algorithms for learning the structure of dynamic Bayesian networks (DBNs) require
an a priori ordering of variables, which influences the determined graph topology. However …

Abstract Acute Kidney Injury (AKI) is common in the intensive care units (ICUs) and is
associated with an increased risk of hospital mortality and additional healthcare-related …

End-stage renal disease (ESRD), commonly known as kidney failure, is a critical medical
condition that has a significant impact on global health. Early detection of kidney failure is …

Acute kidney injury (AKI), a frequent complication in hospitalized patients, poses significant
challenges due to its high incidence, short-term mortality, and substantial economic burden …

Abstract Background Acute Kidney Injury (AKI) is common among inpatients. Severe AKI
increases all-cause mortality especially in critically ill patients. Older patients are more at risk …

Acute kidney injury (AKI) is a common complication in hospitalized patients and can result in
increased hospital stay, health-related costs, mortality and morbidity. A number of recent …

Thousands of clinical factors define a unique phenotype for each patient, all of which
contribute to the prognosis of that patient in different ways. This makes the problem of …

We conduct exploratory analysis of a novel algorithm called Model Agnostic Effect
Coefficients (MAgEC) for extracting clinical features of importance when assessing an …

Well-prepared data for predictive modeling often yields better performance, but preparing
data is time-consuming and requires domain expertise. This is especially true in early …

Renal failure in the intensive care unit (ICU) is associated with high morbidity and mortality.
The Sequential Organ Failure Assessment (SOFA) score is applied in the ICU to track the …