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A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis
Accurate prognosis is fundamental in planning an appropriate therapy for cancer patients. Consequent to the heterogeneity of the disease, intra- and inter-pathologist variability, and the inherent limitations of current pathological reporting systems, patient outcome varies considerably within simil...
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| Published in: | NPJ Digit Med |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Nature Publishing Group UK
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6550189/ https://ncbi.nlm.nih.gov/pubmed/31304331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-018-0057-x |
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