Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data

Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data

<p>Abstract</p> <p>Background</p> <p>Ineffective risk stratification can delay diagnosis of serious disease in patients with hematuria. We applied a systems biology approach to analyze clinical, demographic and biomarker measurements (n = 29) collected from 157 hematuri...

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Bibliographic Details
Main Authors: Emmert-Streib Frank, Abogunrin Funso, de Matos Simoes Ricardo, Duggan Brian, Ruddock Mark W, Reid Cherith N, Roddy Owen, White Lisa, O'Kane Hugh F, O'Rourke Declan, Anderson Neil H, Nambirajan Thiagarajan, Williamson Kate E
Format: Article
Language:English
Published: BMC 2013-01-01
Series:BMC Medicine
Subjects:
hematuria
biomarker
risk stratification
Random Forests Classifier
hierarchical clustering
feature selection
urothelial cancer
proteinuria
Online Access:http://www.biomedcentral.com/1741-7015/11/12

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http://www.biomedcentral.com/1741-7015/11/12

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