Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case–control cohort analysis

Title
Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case–control cohort analysis
Authors
Keywords
Prediction, Diabetic kidney disease, Genotypes, Phenotypes, Machine learning, Random forest, Support vector machine
Journal
BMC Nephrology
Volume 14, Issue 1, Pages -
Publisher
Springer Nature
Online
2013-07-24
DOI
10.1186/1471-2369-14-162

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now