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1

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

100%
Milewski R., Malinowski P., Milewska A. J., Ziniewicz P.
Studies in Logic, Grammar and Rhetoric
|
2010
|
issue 21(34)
35-46
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.
2

APPLICATIONS OF LOGIC IN MEDICINE

100%
Jankowska D., Milewska A. J., Górska U.
Studies in Logic, Grammar and Rhetoric
|
2010
|
issue 21(34)
7-24
EN
This paper presents the importance of logic in the medical field. Efficient and proper medical work is difficult without the knowledge of the rules of logic. Therefore, the paper will consider ways of implementing both classical logic and non-classical approach, e.g. temporal and fuzzy logic. The thesis will be supported by numerous examples illustrating how indispensable is the cognition of logic and showing how applying logic can effectively improve work in medicine.
3

STATISTICAL METHODS IN POLISH MEDICAL PUBLICATIONS

100%
Milewska A. J., Milewski R., Górska U., Jankowska D.
Studies in Logic, Grammar and Rhetoric
|
2010
|
issue 21(34)
81-90
EN
Conducting research in the field of medicine today requires knowledge of statistical tools. For various reasons their correct selection is often a difficult task. This paper summarizes the most commonly used statistical methods in Polish medical journals published in 2009. We studied whether the choice of statistical tools and the methods of their implementation is connected with the number of points awarded for particular journals by MNiSW.
4

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

88%
Milewski R., Milewska A. J., Czerniecki J., Jamiolkowski J., Wolczynski S.
Studies in Logic, Grammar and Rhetoric
|
2010
|
issue 21(34)
119-127
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.
5

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

88%
Milewski R., Jamiolkowski J., Milewska A. J., Domitrz J., Wolczynski S.
Studies in Logic, Grammar and Rhetoric
|
2009
|
issue 17(30)
225-239
EN
Infertility treatment with IVF (in vitro fertilization) methods require collection, storage and analysis of large quantity of data. Existing hospital systems are not prepared to gather such detailed and specialized information. This situation stimulated the formation of a group dealing with the infertility treatment as well as software programming. The group also decided to create a suitable system for gathering this type of information. After a long period of preparations, consultations and tests, the system has been initiated and implemented in the Clinic of Reproduction and Gynecological Endocrinology in Bialystok. The transparent structure and the form of implementation of the system allow it to be used by untrained personnel involved in work with other hospital systems. Data relating to few hundred couples treated for infertility using the IVF ICSI/ET method has been accumulated up to the date of writing of this paper.
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