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A Utility/Cost Analysis of Breast Cancer Risk Prediction Algorithms
Breast cancer risk prediction algorithms are used to identify subpopulations that are at increased risk for developing breast cancer. They can be based on many different sources of data such as demographics, relatives with cancer, gene expression, and various phenotypic features such as breast densi...
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| I publikationen: | Proc SPIE Int Soc Opt Eng |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4913185/ https://ncbi.nlm.nih.gov/pubmed/27335532 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2217850 |
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