Name
Title | ||
|---|---|---|
A new evaluation measure of diagnostic tests based on modified area under the receiver operating characteristic curve |
Abstract | ||
|---|---|---|
In this paper, a new diagnostic/classification measure based on modified AUC (MAUC) is proposed. By this measure, we penalize the margin of features between diseased and non-diseased groups in AUC. It's threshold independent, and under normal distribution assumption, we can prove that higher MAUC always means higher PAUC (within relatively low FPR) when AUCs are close to each other. Our simulations and experiment about prostate cancer MS data can also help to demonstrate it. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/BIBMW.2010.5703923 | Bioinformatics and Biomedicine Workshops |
Keywords | DocType | ISSN |
biological organs,biomedical measurement,cancer,data analysis,medical diagnostic computing,patient diagnosis,sensitivity analysis,diagnostic tests,disease,modified area under roc curves,normal distribution,prostate cancer data,receiver operating characteristic analysis,auc,fpr,mauc,pauc,diagnostic,prostate cancer ms data,gaussian distribution,diagnostic test,computational modeling,receiver operating characteristic curve,bioinformatics | Conference | 2163-6966 |
ISBN | Citations | PageRank |
978-1-4244-8304-4 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenbao Yu | 1 | 0 | 0.34 |
| Eunsik Park | 2 | 0 | 0.34 |
| Yuan-chin Chang | 3 | 0 | 0.34 |