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

• Authors: Milewski Robert , Malinowski Pawel , Milewska Anna Justyna , Ziniewicz Piotr
• 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.

Keywords

EN

DATA MINING; FEATURE SELECTION; INFERTILITY TREATMENT; IVF ICSI/ET; MARGIN; NEAREST NEIGHBOR CLASSIFIER

Discipline

• OTHER_SOCIAL_SCIENCES: OTHER SOCIAL SCIENCES

• Publisher: Sciendo
• Journal: Studies in Logic, Grammar and Rhetoric
• Year: 2010
• Issue: 21(34)
• Pages: 35-46
• Document type: ARTICLE

Contributors

author

Milewski Robert

author

Malinowski Pawel

author

Milewska Anna Justyna

author

Ziniewicz Piotr

• Robert Milewski, Department of Statistics and Medical Informatics, Medical University of Bialystok

Identifiers

CEJSH db identifier

11PLAAAA101613