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  • Domain knowledge based hierarchical feature selection for 30-day hospital readmission prediction [Elektronski vir]
    Radovanović, Sandro ...
    Many studies fail to provide models for 30-day hospital re-admission prediction with satisfactory performance due to high dimensionality and sparsity. Efficient feature selection techniques allow ... better generalization of predictive models and improved interpretability, which is a very important property for applications in health care. We propose feature selection method that exploits hierarchical domain knowledge together with data. The new method is evaluated on predicting 30-day hospital readmission for pediatric patients from California and provides evidence that a knowledge-based approach outperforms traditional methods and that the newly proposed method is competitive with state-of-the-art methods
    Vir: Artificial intelligence in medicine [Elektronski vir] : proceedings (Str. 96-100)
    Vrsta gradiva - prispevek na konferenci
    Leto - 2015
    Jezik - angleški
    COBISS.SI-ID - 2145188

    Povezava(-e):

    http://dx.doi.org/10.1007/978-3-319-19551-3

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