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MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine
Machine learning algorithms that are both interpretable and accurate are essential in applications such as medicine where errors can have a dire consequence. Unfortunately, there is currently a tradeoff between accuracy and interpretability among state-of-the-art methods. Decision trees are interpre...
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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5129017/ https://ncbi.nlm.nih.gov/pubmed/27901055 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep37854 |
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