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Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling
Radiation outcomes prediction (ROP) plays an important role in personalized prescription and adaptive radiotherapy. A clinical decision may not only depend on an accurate radiation outcomes’ prediction, but also needs to be made based on an informed understanding of the relationship among patients’...
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| I publikationen: | BJR Open |
|---|---|
| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
The British Institute of Radiology.
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7592485/ https://ncbi.nlm.nih.gov/pubmed/33178948 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjro.20190021 |
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