DocumentCode :
3756882
Title :
Donor Selection for Hematopoietic Stem Cell Transplant Using Cost-Sensitive SVM
Author :
Adarsh Sivasankaran;Vladimir Cherkassky;Mark Albrecht;Eric Williams;Martin Maiers
Author_Institution :
Biomed. Inf. &
fYear :
2015
Firstpage :
831
Lastpage :
836
Abstract :
Donor selection for Hematopoietic Stem Cell Transplant often requires physicians to manually select 3 to 5 donors from a list of 100s of genetically compatible donors as identified by HLA-based matching algorithms. The decision process is complicated by a lack of strict guidelines governing a "secondary" selection process, which is based upon non-HLA donor attributes. Our research is aimed at modeling this "secondary" decision process which can help physicians choose the right donors, based on donor attributes and historical choice behavior. Proposed black box models will help in improving selection consistency.
Keywords :
"Medical services","Support vector machines","Data models","Stem cells","Mathematical model","Numerical models","Training"
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2015 IEEE 14th International Conference on
Type :
conf
DOI :
10.1109/ICMLA.2015.166
Filename :
7424425
Link To Document :
بازگشت