• 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