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Combining Biomarkers Linearly and Nonlinearly for Classification Using the Area Under the ROC Curve
In biomedical studies, it is often of interest to classify/predict a subject’s disease status based on a variety of biomarker measurements. A commonly used classification criterion is based on AUC - Area under the Receiver Operating Characteristic Curve. Many methods have been proposed to optimize a...
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| Vydáno v: | Stat Med |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4965290/ https://ncbi.nlm.nih.gov/pubmed/27058981 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6956 |
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