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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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Valdes, Gilmer, Luna, José Marcio, Eaton, Eric, Simone, Charles B., Ungar, Lyle H., Solberg, Timothy D.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group 2016
Assuntos:
Acesso em linha: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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