EconPapers    
Economics at your fingertips  
 

Class Based Variable Importance for Medical Decision Making

Danielle Baghernejad
Additional contact information
Danielle Baghernejad: Intermedix, Nashville, USA

Biomedical Journal of Scientific & Technical Research, 2017, vol. 1, issue 5, 1328-1335

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...

Keywords: Biomedical Sciences; Biomedical Research; Technical research Machine learning; Tree-based modeling; Decision trees; Variable importance; Class Variable Importance (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://biomedres.us/pdfs/BJSTR.MS.ID.000431.pdf (application/pdf)
https://biomedres.us/fulltexts/BJSTR.MS.ID.000431.php (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:1:y:2017:i:5:p:1328-1335

DOI: 10.26717/BJSTR.2017.01.000431

Access Statistics for this article

Biomedical Journal of Scientific & Technical Research is currently edited by Robert Thomas

More articles in Biomedical Journal of Scientific & Technical Research from Biomedical Research Network+, LLC
Bibliographic data for series maintained by Angela Roy ().

 
Page updated 2025-03-19
Handle: RePEc:abf:journl:v:1:y:2017:i:5:p:1328-1335