985.txt

This complete matlab for neural network

发信人: GzLi (笑梨), 信区: DataMining
标  题: svm<7>Breast Cancer Prognosis
发信站: 南京大学小百合站 (Tue Jun  4 18:45:28 2002), 站内信件

Breast Cancer Prognosis: Chemotherapy Effect on Survival Rate
A linear support vector machine (SVM) is used to extract 6 features from 
a total of 31 features from the Wisconsin breast cancer dataset of 253 patients
. We cluster the 253 breast cancer patients into three prognostic groups:
 Good, Intermediate and Poor. Each of the three groups has a significantly
 distinct Kaplan-Meier survival curve. Of particular significance is the 
Intermediate group, because this group comprises of patients for whom chemoth
erapy
 gives distinctly better survival times than those in the same group that
 did not undergo chemotherapy. This is the reverse case to that of the overall
 population studied, for which patients without chemotherapy have better 
longevity. We prescribe a procedure that utilizes three nonlinear smooth 
support vector machines (SSVMs) for classifying breast cancer patients into
 three above prognostic groups with 82.7% test set correctness. These results
 suggest that patients in the Good group should not receive chemotherapy 
while Intermediate group patients should receive chemotherapy based on our
 survival curve analysis. To our knowledge this is the first instance of 
classifiable group of breast cancer patients for which chemotherapy enhances
 survival.

Reference(s): 
Yuh-Jye Lee, O. L. Mangasarian and W. H. Wolberg: ?§Survival-Time Classifica
tion
 of Breast Cancer Patients, Data Mining Institute Technical Report 01-03,
 March 2001.

Yuh-Jye Lee, O. L. Mangasarian and W. H. Wolberg: ?§Breast Cancer Survival
 and Chemotherapy: A Support Vector Machine Analysis?¨, DIMACS Series in
 Discrete Mathematics and Theoretical Computer Science, Vol. 55 (2000), pp
. 1-10. 

Yuh-Jye Lee and O. L. Mangasarian: ?§SSVM: Smooth Support Vector Machine
 for Classification?¨, Computational Optimization and Applications (20)1
: pp. 5-22. 


Reference link(s): 


Data link(s): 
WPBCC: Wisconsin Prognostic Breast Cancer Chemotherapy Database.
ftp://ftp.cs.wisc.edu/math-prog/cpo-dataset/machine-learn/WPBCC/ 


Entered by: Yuh-Jye Lee <[e-mail]> - Wednesday, October 24, 2001
 at 19:38:50 (MDT)
Comments: 


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