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Selecting Biomarkers for building optimal treatment selection rules using Kernel Machines
Optimal biomarker combinations for treatment-selection can be derived by minimizing total burden to the population caused by the targeted disease and its treatment. However, when multiple biomarkers are present, including all in the model can be expensive and hurt model performance. To remedy this,...
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| Pubblicato in: | J R Stat Soc Ser C Appl Stat |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7485396/ https://ncbi.nlm.nih.gov/pubmed/32921837 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssc.12379 |
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