Information Visualization Frameworks potentially help designers to drive a visual tool to infer
data from single or multiple Electronic Health Records (EHR) for clinicians. Different types of …

The recognition of a standardized, consensus definition for acute kidney injury (AKI) has
been an important milestone in critical care nephrology, which has facilitated innovation in …

Acute kidney injury (AKI) commonly occurs in hospitalized patients and can lead to serious
medical complications. But it is preventable and potentially reversible with early diagnosis …

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 …

In medicine, the first information technology wave to hit the art and science of healing was
the digitization of medical files, now known as electronic health records (EHRs). The data …

Acute kidney injury (AKI) is a frequent complication in hospitalized patients, which is
associated with worse short and long-term outcomes. It is crucial to develop methods to …

This study introduces the first-ever self-explanatory interface for diagnosing diabetes
patients using machine learning. We propose four classification models (Decision Tree (DT) …

Background Community-acquired acute kidney injury (CA-AKI)-associated hospitalizations
impose significant health care needs and contribute to in-hospital mortality. However, most …

Background: AKI is a serious complication characterized by poor short-and long-term
outcomes in the intensive care unit. An increase in serum creatinine leads to impairment in …

Acute kidney injury (AKI) is a disease defined as an abrupt decline in kidney function and is
a common complication in hospitalized patients with high clinical significance. Recently, a …