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Class Based Variable Importance for Medical Decision Making

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  • Danielle Baghernejad

    (Intermedix, Nashville, USA)

Abstract

In this paper we explore variable importance within tree-based modeling, discussing its strengths and weaknesses with regard to medical inference and action ability...

Suggested Citation

  • Danielle Baghernejad, 2017. "Class Based Variable Importance for Medical Decision Making," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 1(5), pages 1328-1335, October.
    • Handle: RePEc:abf:journl:v:1:y:2017:i:5:p:1328-1335
    DOI: 10.26717/BJSTR.2017.01.000431
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    References listed on IDEAS

    as
    1. Archer, Kellie J. & Kimes, Ryan V., 2008. "Empirical characterization of random forest variable importance measures," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2249-2260, January.
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    More about this item

    Keywords

    Biomedical Sciences; Biomedical Research; Technical research Machine learning; Tree-based modeling; Decision trees; Variable importance; Class Variable Importance;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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