Preventive vaccination is one of the greatest successes of modern medicine. The SARS-CoV-2 epidemic, during which vaccination is the main method of prevention against death and severe disease, gave rise to a resurgence of anti-vaccine movements. The aim of this study was to analyse the attitudes of students towards vaccination and the COVID-19 pandemic. The statistical analysis was performed with the use of the following data-mining methods: correspondence analysis and basket analysis. The obtained results show that students of medicine are (...) characterized with the highest level of knowledge. Students of other medical faculties, on the other hand, have a significantly less uniform views, as do students of non-medical faculties. (shrink)

The paper presents a comparison of the two most commonly used diagnostic tests for orthorexia – ORTO-15 Questionnaire and BOT (Bratman Orthorexia Test) – that use data-mining methods. Orthorexia nervosa is perceived as a new, unclassified eating disorder, which is characterized with pathological fixation on the consumption of healthy foods. In order to assess the coherence of the aforementioned tests, a method from the data-mining group, i.e. correspondence analysis, was used in addition to traditional statistical methods. On the basis of (...) the obtained results, only average correlation between ORTO-15 Questionnaire and BOT test was found. More cases of orthorexia were diagnosed with the use of ORTO-15 Questionnaire, which may result from its higher sensitivity. It was also noted that the coherence of tests increases with increasing BMI values, despite no relationship between BMI and the presence of orthorexia having been proved. Diagnosis of an orthorexia case with the use of BOT test implies that there is a high probability that it will also be diagnosed with the use of ORTO-15 test, but not necessarily the other way around. The performed correspondence analysis confirmed a not very strong coherence of the results of both tests. (shrink)

Infertility is recognized as a major problem of modern society. Assisted Reproductive Technology is the one of many available treatment options to cure infertility. However, the efficiency of the ART treatment is still inadequate. Therefore, the procedure’s quality is constantly improving and there is a need to determine statistical predictors as well as contributing factors to the successful treatment. There is a concern over the application of adequate statistical analysis to clinical data: should classic statistical methods be used or would (...) it be more appropriate to apply advanced data mining technologies? By comparing two statistical models, Multivariable Logistic Regression analysis and Artificial Neural Network it has been demonstrated that Multivariable Logistic Regression analysis is more suitable for theoretical interest but the Artificial Neural Network method is more useful in clinical prediction. (shrink)

Infertility is currently a common problem with causes that are often unexplained, which complicates treatment. In many cases, the use of ART methods provides the only possibility of getting pregnant. Analysis of this type of data is very complex. More and more often, data mining methods or artificial intelligence techniques are appropriate for solving such problems. In this study, classification trees were used for analysis. This resulted in obtaining a group of patients characterized most likely to get pregnant while using (...) in vitro fertilization. (shrink)

Health behaviours of preschool children have a considerable impact on the shaping of habits later on in their lives. Parents’ and guardians’ role is to develop positive health patterns and represent exemplary models to be followed by children. The aim of the paper is to present the use of correspondence analysis for the assessment of the relationship between eating habits of parents and children, as well as for the determination of the most common situations in which preschool children consume fast-food (...) products and to find the relationship between the frequency of fast-food consumption and BMI values in preschool children. The tests were carried out with the use of an own survey carried out in kindergartens in Białystok among parents dropping off and picking up children. 149 correctly filled questionnaires were obtained. The statistical analysis employs the chi-squared test and correspondence analysis. Among the tested children, a statistically significant relationship between body weight and sex was obtained. In the group of children and parents consuming fast-foods, a statistically significant relationship between the frequency of children’s and parents’ consumption of the products in question was noticed. A statistically significant relationship between the age of introduction of fast-food products into the child’s diet and their BMI was found. A situation that was statistically significant as far as contribution to frequent consumption of fast-food products by children, i.e. at least once a week, were children and parents shopping together. The relationship between the frequency of fast-food consumption by parents and children was presented in the form of correspondence maps, as well as the relationship between the child’s BMI and the age when the first fast-food product is served, and the relationship between the child’s BMI and the frequency of their consumption of fast-foods. Unfortunately, despite the high awareness among parents of the harmful effects of fast-food products and the widespread health education programmes, a number of the children in kindergartens were overweight or even obese. For this reason, the quality of the educational programmes in kindergartens, as well as in various media outlets, needs to be improved, with emphasis put on their effectiveness, in order to minimise the problem of the occurrence of overweight and obesity in children. It is also important for parents rearing children to pay special attention not only to their children’s menus, but also to foods consumed in the presence of children. (shrink)

Many factors play an important role in prediction of infertility treatment 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. 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 during IVF treatment and offers an option for adjustments to be made during infertility treatment. (shrink)

Approx. 60–80 million couples globally are affected by the problem of infertility. The issue is important both for the couple trying to conceive and for the whole society in which the couple lives. Lifestyle, including nutrition, may have both a positive and a negative impact on the outcomes of infertility treatment. The aim of this paper is to assess the relationship between knowledge in the area of fertility diet and its actual use, and types of fertility disorders among women undergoing (...) treatment in a fertility clinic. A group of women was analyzed statistically, divided into 3 groups according to their couple’s cause of infertility – the causes of infertility were described as: the male factor, the female factor, and the idiopathic factor. The study group answered questions that comprised a fertility diet knowledge test; the frequency of consumption of particular food products in a individual groups was also analyzed. Correspondence analysis showed differences between the groups in the number of points scored in the fertility diet knowledge test, as well as in the consumption of sweets, crisps and sticks, and nuts and seeds. Women among whom the main cause of infertility was defined as the male factor scored the highest numbers of points in the fertility diet knowledge test, women with the idiopathic cause of infertility scored slightly lower numbers of points, while women whose main cause of infertility was defined as the female factor scored the lowest numbers of points. Women from couples with idiopathic infertility consumed sweets, crisps and sticks the most often, followed by women with the cause of infertility identified on their side, with the lowest frequency of consumption of sweets identified among women whose partner was infertile. Nuts and seeds were consumed the most frequently by women whose partners were infertile, followed by women with the cause of infertility identified on their side, while women with the idiopathic cause of infertility consumed nuts and seeds the least frequently. These examples show that correspondence analysis is well suited to the assessment of the influence of lifestyle on fertility; in addition, it makes it possible to recognize certain correlations that may not be observed in standard statistical tests. (shrink)

Intrauterine insemination 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. (shrink)

The aim of the study presented in this article is to show correspondence analysis as a method useful in the diagnosis of coexistence of category variables in antecedents of innovativeness, with the positions of the respondents representing various medical professions in hospitals. Primary data obtained in the course of empirical research, carried out using a questionnaire study on a sample of 459 respondents representing 8 public hospitals in Poland, is used to this aim. To follow up on the achievements of (...) the analysis, literature on the issue of innovativeness and its antecedents was also used. The results of the correspondence analysis allows one to confirm the thesis of the different opinions of doctors, nurses/midwives and managers regarding the level of significance of antecedents of innovativeness, where for doctors and managers in this context the most important is financial optimization, and for nurses the improvement of the quality of medical services. The results may provide an important clue to the chief executives of hospitals in the context of further changes and innovativeness necessary to achieve the desired efficiency of these organizations. (shrink)