Article

Prediction of rapid kidney function decline using machine learning combining blood biomarkers and electronic health record data

2019-03-28

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Introduction</h4> Individuals with type 2 diabetes (T2DM) or the APOL1 high-risk genotype ( APOL1 ) are at increased risk of rapid kidney function decline (RKFD) as compared to the general population. Plasma biomarkers representing inflammatory and kidney injury pathways have been validated as predictive of kidney disease progression in several studies. In addition, routine clinical data...

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Literature Corpus work: 7d7f5e03-fc48-59c9-b295-f21eafbe994f
DOI: 10.1101/587774

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