PL EN


2010 | 21(34) | 35-46
Article title

THE USAGE OF MARGIN-BASED FEATURE SELECTION ALGORITHM IN IVF ICSI/ET DATA ANALYSIS

Selected contents from this journal
Title variants
Languages of publication
EN
Abstracts
EN
In the case of infertility treatment, successful classification will facilitate understanding of various factors affecting the success of the process. Classification itself is an important data mining problem. Many classifications and constructions of the classifier algorithms are not able to cope with the analysis of the huge amount of factors associated with this process. Feature selection allows to significantly reduce the volume of analyzed data, while maintaining the classifier prediction quality. This leads to the rejection of nonessential measurements and time reductions.
Year
Issue
Pages
35-46
Physical description
Document type
ARTICLE
Contributors
  • Robert Milewski, Department of Statistics and Medical Informatics, Medical University of Bialystok
References
Document Type
Publication order reference
Identifiers
CEJSH db identifier
11PLAAAA101613
YADDA identifier
bwmeta1.element.e9dd3a01-6c65-309c-b277-e09f51d6cee3
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