Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Short Note on Optimizing Feature Selection to Improve Medical DiagnosisShort Note on Optimizing Feature Selection to Improve Medical Diagnosis

Other Titles
Short Note on Optimizing Feature Selection to Improve Medical Diagnosis
Authors
곽취(Cui Guo)류홍서
Issue Date
2014
Publisher
한국경영과학회
Keywords
Support Features; Feature Selection; Integer Programming; Multiobjective Programming
Citation
한국경영과학회지, v.39, no.4, pp.71 - 74
Indexed
KCI
Journal Title
한국경영과학회지
Volume
39
Number
4
Start Page
71
End Page
74
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/100275
DOI
10.7737/JKORMS.2014.39.4.071
ISSN
1225-1119
Abstract
A new classification framework called ‘support feature machine’ was introduced in [2] for analyzing medical data. Contrary to authors’ claim, however, the proposed method is not designed to guarantee minimizing the use of the spatial feature variables. This paper mathematically remedies this drawback and provides comments on models from [2].
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher RYOO, Hong Seo photo

RYOO, Hong Seo
공과대학 (산업경영공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE