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Prediction of lung cancer patient survival via supervised machine learning classification techniques
Outcomes for cancer patients have been previously estimated by applying various machine learning techniques to large datasets such as the Surveillance, Epidemiology, and End Results (SEER) program database. In particular for lung cancer, it is not well understood which types of techniques would yiel...
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| Publicado no: | Int J Med Inform |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5726571/ https://ncbi.nlm.nih.gov/pubmed/29132615 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijmedinf.2017.09.013 |
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