Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease

Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease

We apply a pattern-based classification method to identify clinical and genomic features associated with the progression of Chronic Kidney disease (CKD). We analyze the African-American Study of Chronic Kidney disease with Hypertension dataset and construct a decision-tree classification model, cons...

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Bibliographic Details
Main Authors: M. Megan Moreno, Travaughn C. Bain, Melissa S. Moreno, Katherine C. Carroll, Emily R. Cunningham, Zoe Ashton, Roby Poteau, Ersoy Subasi, Michael Lipkowitz, Munevver Mine Subasi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Big Data
Subjects:
classification
genomic analysis
AASK
chronic kidney disease
decision trees
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2020.528828/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2020.528828/full

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