Background The electronic health record (EHR) has become increasingly ubiquitous. At the
same time, health professionals have been turning to this resource for access to data that is …

Acute Kidney Injury (AKI), a sudden decline in kidney function, is associated with increased
mortality, morbidity, length of stay, and hospital cost. Since AKI is sometimes preventable …

Machine learning (ML) has been used to build high-performance prediction models in the
past without considering race. African Americans (AA) are vulnerable to acute kidney injury …

Acute kidney injury (AKI) has a significant impact on patient morbidity and mortality as well
as overall health care costs. eResearch, which integrates information technology and …

Methods 21,225 sets of anonymised inpatient consecutive AKI episodes (stages 1–3) were
identified. Associated anonymised electronic health records (EHR) of demographics …

Objectives The development of clinical predictive models hinges upon the availability of
comprehensive clinical data. Tapping into such resources requires considerable effort from …

Background Acute kidney injury (AKI) is an adverse event that carries significant morbidity.
Given that interventions after AKI occurrence have poor performance, there is substantial …

Study Objectives Acute kidney injury (AKI) is strongly associated with adverse clinical
outcomes including prolonged hospitalization, progression to CKD, and death. Diagnosis of …

Data quality is essential to the success of the most simple and the most complex analysis. In
the context of the COVID-19 pandemic, large-scale data sharing across the US and around …

Chronic kidney disease (CDK) represents a significant public health concern globally, and
its prevalence is on the rise. In the context of Kuwait, this study addresses the imperative of …