Development and validation of interpretable machine learning models to predict glomerular filtration rate in chronic kidney disease Colombian patients
Annals of Clinical Biochemistry, Ahead of Print. BackgroundML predictive models have shown their capability to improve risk prediction and assist medical decision‐making, nevertheless, there is a lack of accuracy systems to early identify future rapid …