An interpretable rule-based diagnostic classification of diabetic nephropathy among type 2 diabetes patients.

ABSTRACT:

Background

The prevalence of type 2 diabetes is increasing at an alarming rate. Various complications are associated with type 2 diabetes, with diabetic nephropathy being the leading cause of renal failure among diabetics. Often, when patients are diagnosed with diabetic nephropathy, their renal functions have already been significantly damaged. Therefore, a risk prediction tool may be beneficial for the implementation of early treatment and prevention.

Results

In the present study, we developed a decision tree-based model integrating genetic and clinical features in a gender-specific classification for the identification of diabetic nephropathy among type 2 diabetic patients. Clinical and genotyping data were obtained from a previous genetic association study involving 345

SUBMITTER: Huang GM 

PROVIDER: S-EPMC4331704 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature