Abstract

Acute kidney injury (AKI) is the generic term for an abrupt and sustained decrease in renal function, resulting in the retention of waste products. It is associated with high morbidity and mortality. An early accurate diagnosis is essential to improve the prognosis of this disease. The development of a model for predicting risk of AKI mixed with biomarkers (creatinine, cystatin C) and clinical data is a promising approach.

Category

Team

Tiago Ribeiro

Tiago Ribeiro

Researcher

Health Big Data and
Decision Support Systems.