Wyniki wyszukiwania - Biblioteka Nauki

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Analyzing Outcomes of Intrauterine Insemination Treatment by Application of Cluster Analysis or Kohonen Neural Networks

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Milewska A. J. , Jankowska D. , Cwalina U. , Więsak T. , Citko D. , Morgan A. , Milewski R.

Studies in Logic, Grammar and Rhetoric

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2013

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tom 35

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nr 1

7-25

EN

Intrauterine insemination (IUI) is one of many treatments provided to infertility patients. Many factors such as, but not limited to, quality of semen, the age of a woman, and reproductive hormone levels contribute to infertility. Therefore, the aim of our study is to establish a statistical probability concerning the prediction of which groups of patients have a very good or poor prognosis for pregnancy after IUI insemination. For that purpose, we compare the results of two analyses: Cluster Analysis and Kohonen Neural Networks. The k-means algorithm from the clustering methods was the best to use for selecting patients with a good prognosis but the Kohonen Neural Networks was better for selecting groups of patients with the lowest chances for pregnancy.

2

Significance of Discriminant Analysis in Prediction of Pregnancy in IVF Treatment

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Milewska A. J. , Jankowska D. , Cwalina U. , Citko D. , Więsak T. , Acacio B. , Milewski R.

Studies in Logic, Grammar and Rhetoric

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2015

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tom 43

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nr 1

7-20

EN

Many factors play an important role in prediction of infertility treatment outcome (for example, female age and quality of oocytes or embryos are the most important prognostic factors concerning positive IVF outcome). The purpose of this study was to identify a set of variables that could fulfill criteria for prediction of pregnancy in IVF patients through the application of data mining – using the discriminant analysis method. The principle of this method is to establish a set of rules that allows one to place multi-dimensional objects into one of two analyzed groups (pregnant or not pregnant). Six hundred and ten IVF cycles were included in the analysis and the following variables were taken into consideration: female age, number and quality of retrieved oocytes, number and quality of embryos, number of transferred embryos, and outcome of treatment. Discriminant analysis allowed for the creation of a model with a 51.22% correctness of prediction to achieve pregnancy during IVF treatment and with 74.07% correctly predicted failure of pregnancy. Therefore, the created model is more suitable for the prediction of a negative outcome (lack of pregnancy) during IVF treatment and offers an option for adjustments to be made during infertility treatment.

3

Assessment of dietary habits of patients with recurrent depressive disorders

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Stefańska E. , Wendołowicz A. , Cwalina U. , Kowzan U. , Konarzewska B. , Szulc A. , Ostrowska L.

Archives of Psychiatry and Psychotherapy

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2014

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tom 16

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nr 4

39-46

EN

Aim. The aim of this study was evaluation of selected dietary habits of patients with recurrent depressive disorders. methods. The study included 150 patients (75 patients suffering from recurrent depressive disorders. and 75 healthy people aged 18-64 years). The assessment of dietary habits was carried out by using a food frequency questionnaire. Results. It has been shown that in the compared groups of women, patients with depression consumed significantly less groats (p<0.001), rice (p= 0.02), red meat (p<0.01), fish (p<0.01), vegetables (p<0.001), fruits (p<0.01) and wine (p<0.001) in comparison with women without depression, and they were significantly more likely to consume wheat-rye bread (p= 0.03), cheese (p=0.02), butter (p=0.03), cream (p <0.01), lard (p <0.001), coffee (p=0.03) and sugar (p=0.02) in comparison with women without depression. Statistically significant differences between the two groups of men were diagnosed in the frequent intake of lard (p<0.001) and less frequent vegetable oils (p<0.01), beer (p= 0.01), and fast food (p<0.01) for men with depression compared with men in the control group. Conclusions. In the treatment of patients with depression during the declared change of diet, the need for nutrition education on the principles of rational nutrition should be taken into attention, including the selection of appropriate food groups in order to ensure an optimal supply of all necessary to the proper functioning of the body's nutrients.

4

Why is it important to monitor the diet of overweight patients with depressive disorders?

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Stefańska E. , Wendołowicz A. , Cwalina U. , Kowzan U. , Konarzewska B. , Szulc A. , Ostrowska L.

Archives of Psychiatry and Psychotherapy

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2014

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tom 16

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nr 4

47-55

EN

Introduction. Studies on the dietary habits of depressive patients demonstrate frequent deviation result- ing in the development of many diseases. Purpose. The aim of the study was to assess the efficacy of weight reduction diet in patients with depres- sive disorders, including the assessment of changes in the intake of major nutrients that may promote al- terations in body composition during a three-month observation. Methods. The study included 77 people with excessive body weight (45 women and 32 men; average age of women 49.3±10.3 years and men 47.1± 1.2 years) treated for recurrent depressive disorders and being on a 3-month weight reduction diet. The study patients underwent anthropometric measurements and their body composition was determined with electric bio-impedance. Results. Mean weight loss in women was 2.7±2.5kg, and in men 2.0±5.6kg. There was a decrease in fat mass in women by an average of 1.8±5.7kg and in men by 1.3±7.1kg. A statistically significant reduc- tion was reported in the mean waist circumference (3.8±3.7cm) and hips (2.0 ± 1.9cm) among women. Diet modification brought a decrease in the energy value of daily diet and reduction in the supply of ma- cronutrients. Conclusions. The long-term effect of the nutritional therapy indicates the need for intensified dietary ed- ucation, both in terms of the number of dietary trainings and intensive cooperation between patient and dietician for proper selection of food products. The cooperation should not only be related to diet correc- tion, but is also expected to motivate physical activity and lifestyle changes.