THE STATISTICAL MODULE FOR THE SYSTEM OF ELECTRONIC REGISTRATION OF INFORMATION ABOUT PATIENTS TREATED FOR INFERTILITY USING THE IVF ICSI/ET METHOD

• Authors: Milewski Robert , Milewska Anna Justyna , Czerniecki Jan , Jamiolkowski Jacek , Wolczynski Slawomir
• Languages of publication: EN

Abstracts

EN

Infertility treatment using IVF methods requires to the collection, storage and analysis of large quantities of various types of data. Created at the University Hospital in Bialystok, system of electronic registration of information about patients treated for infertility using the IVF ICSI/ET method, turned out to be useful in the process of data collection and storage of information about treated couples. However, it does not satisfy the condition relating to the need to analyze the data collected. For this reason, system developers have taken the trouble of improving it with a statistical module that fulfills hopes connected with it. This module consists of two main parts which generally may be called: descriptive statistics and neural network. The first part of the module refers to the designation and presentation of descriptive statistics. They are based on a number of key features of the treatment process, as well as the juxtaposing the designated statistics, broken down into groups defined by the grouping variables. The second part concerns the neural network to predict the efficacy of the treatment. The network which has been used here provides nearly 90% probability treatment failure and can be used for the prediction of negative cases.

Keywords

EN

DESCRIPTIVE STATISTICS; INFERTILITY TREATMENT; IVF ICSI/ET METHOD; NEURAL NETWORK

Discipline

• OTHER_SOCIAL_SCIENCES: OTHER SOCIAL SCIENCES

• Publisher: Sciendo
• Journal: Studies in Logic, Grammar and Rhetoric
• Year: 2010
• Issue: 21(34)
• Pages: 119-127
• Document type: ARTICLE

Contributors

author

Milewski Robert

author

Milewska Anna Justyna

author

Czerniecki Jan

author

Jamiolkowski Jacek

author

Wolczynski Slawomir

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

Identifiers

CEJSH db identifier

11PLAAAA101619