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A Machine Learning Approach for Long-Term Prognosis of Bladder Cancer based on Clinical and Molecular Features
Improving the consistency and reproducibility of bladder cancer prognoses necessitates the development of accurate, predictive prognostic models. Current methods of determining the prognosis of bladder cancer patients rely on manual decision-making, including factors with high intra- and inter-obser...
Gardado en:
| Publicado en: | AMIA Jt Summits Transl Sci Proc |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
American Medical Informatics Association
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7233061/ https://ncbi.nlm.nih.gov/pubmed/32477683 |
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