Article

Progression of chronic kidney disease in African Americans with type 2 diabetes mellitus using topology learning in electronic medical records

2018-07-04

Abstract excerpt

<h4>Background</h4> Chronic kidney disease (CKD) is a common, complex, and heterogeneous disease impacting aging populations. Determining the landscape of disease progression trajectories from midlife to senior age in a “real-world” context allows us to better understand the progression of CKD, the heterogeneity of progression patterns among the risk population, and the interactions with other clinical conditions...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5d03ca7d-2fca-5b3b-8723-50b4edb34b28
DOI: 10.1101/361956

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Progression of chronic kidney disease in African Americans with type 2 diabetes mellitus using topology learning in electronic medical recordsDOI 10.1101/361956Read

DEPOT: graph learning delineates the roles of cancers in the progression trajectories of chronic kidney disease using electronic medical recordsSemantic proximity Read

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

Evaluating the kidney disease progression using a comprehensive patient profiling algorithm: A hybrid clustering approachSemantic proximity Read

Understanding the chronic kidney disease landscape using patient representation learning from electronic health recordsSemantic proximity Read

Where risk becomes visible: a layered fixed-policy framework for diabetic kidney disease screening in type 2 diabetesSemantic proximity Read

Genome-Wide Association Study of CKD Progression.Semantic proximity Read

Predicting Incident Chronic Kidney Disease Using Longitudinal Health Examination Data: A Machine Learning StudySemantic proximity Read

Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studiesSemantic proximity Read

Data Driven Approach to Characterize Rapid Decline in Autosomal Dominant Polycystic Kidney DiseaseSemantic proximity Read

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.Semantic proximity Read

Chronic kidney disease onset, progression, and cardiovascular outcomes: proteomics informs biology and risk stratification.Semantic proximity Read

Kidney transcriptomics signature of prospective rapid diabetic kidney disease progressionSemantic proximity Read