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 …

Automated tools for identifying the causes of anaemia in general practices are particularly advantageous for patients who do not fit the typical profile

Annals of Clinical Biochemistry, Ahead of Print. BackgroundThe Dutch guideline algorithm for the analysis of anaemia in patients of general practitioners (GPs) was programmed in a Clinical Decision Support system (CDS-anaemia) to support the process of…

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