REFERENCES Al-Qinai, J. 2000. Translation Quality Assessment. Strategies, Parameters, and Procedures. Meta , Vol. 45: 497–519. Angelelli, C. 2009. Using a Rubric to Assess Translation Ability: Defining the Construct. In Angelelli, C. and Jocobson, H. E. Testing and Assessment in Translation and Interpreting Studies: A Call for Dialogue between Research and Practice (eds.), Amsterdam/Philadelphia: John Benjamins, 13–47. ATA. 2011. ATA Certification Program-Rubric for Grading (Version 2011). http
The article examines the impact of environmental quality on shaping the development policy of Polish voivodeships. The main analytical tool used was the synthetic index of environmental quality, compiled by means of the Perkal method. It was constructed in order to organize Polish voivodeships in terms of environmental quality, which was determined in a comprehensive way on the basis of three thematic areas: advantages of the natural environment, the level of pollution (degradation) of the environment as well as active protective activities. The obtained values of synthetic measures were then compared to the level of economic growth of Polish regions. It was necessary in determining which voivodeships perceive the quality of the environment as the main factor enhancing their economic growth, and which treat it as a barrier to economic development.
Paweł Węgłowski, Iwona Mazur, Joanna A. Jończyk, Michał Czapla and Piotr Karniej
References Aghamolaei, T., Eftekhaari, T. E., Rafati, S., Kahnouji, K., Ahangari, S., Shahrzad, M. E., Kahnouji, A., & Hoseini, S. H. (2014). Service quality assessment of a referral hospital in Southern Iran with SERVQUAL technique: patients’ perspective. BMC Health Services Research, 14: 322. doi: 10.1186/1472-6963-14-322 Brooks, R. F., Lings, I. N., & Botschen, M. A. (1999). International marketing and customer driven wave fronts. Service Industries Journal, 19(4), 49-67. Domowicz, B. (2013). Health care
Psychiatry, Duns Scotus, and Neuroscience
Sally K. Severino
Mariusz Łapczyński and Bartłomiej Jefmański
Making more accurate marketing decisions by managers requires building effective predictive models. Typically, these models specify the probability of customer belonging to a particular category, group or segment. The analytical CRM categories refer to customers interested in starting cooperation with the company (acquisition models), customers who purchase additional products (cross- and up-sell models) or customers intending to resign from the cooperation (churn models). During building predictive models researchers use analytical tools from various disciplines with an emphasis on their best performance. This article attempts to build a hybrid predictive model combining decision trees (C&RT algorithm) and cluster analysis (k-means). During experiments five different cluster validity indices and eight datasets were used. The performance of models was evaluated by using popular measures such as: accuracy, precision, recall, G-mean, F-measure and lift in the first and in the second decile. The authors tried to find a connection between the number of clusters and models' quality.
Anna Justyna Milewska, Dorota Jankowska, Teresa Więsak, Brian Acacio and Robert Milewski
Infertility is a huge problem nowadays, not only from the medical but also from the social point of view. A key step to improve treatment outcomes is the possibility of effective prediction of treatment result. In a situation when a phenomenon with more than 2 states needs to be explained, e.g. pregnancy, miscarriage, non-pregnancy, the use of multinomial logistic regression is a good solution. The aim of this paper is to select those features that have a significant impact on achieving clinical pregnancy as well as those that determine the occurrence of spontaneous miscarriage (non-pregnancy was set as the reference category). Two multi-factor models were obtained, used in predicting infertility treatment outcomes. One of the models enabled to conclude that the number of follicles and the percentage of retrieved mature oocytes have a significant impact when prediction of treatment outcome is made on the basis of information about oocytes. The other model, built on the basis of information about embryos, showed the significance of the number of fertilized oocytes, the percentage of at least 7-cell embryos on day 3, the percentage of blasts on day 5, and the day of transfer.
Petre Iltchev, Aleksandra Sierocka, Sebastian Gierczyński and Michał Marczak
References Busse, R., Geissler, A., Quentin, W., & Wiley, M. (Eds.). (2011). Diagnosis-Related Groups in Europe. Moving towards transparency, effciency and quality in hospitals. Open University Press. World Health Organization 2011 on behalf of the European Observatory on Health Systems and Policies. Retrieved from http://www.euro.who.int/ data/assets/pdf file/0004/162265/e96538.pdf. Charlesworth, A., Davies, A., & Dixon, J. (2012). Reforming payment for health care in Europe to achieve better value (Research report
Barbara Kołodziejczak, Magdalena Roszak, Anna Ren-Kurc, Andrzej Bręborowicz and Wojciech Kowalewski
. Logical, Statistical and Computer Methods in Medicine , 35(48), 203–214. Półjanowicz, W., Roszak, M., Kołodziejczak, B., & Bręborowicz, A. (2014). An analysis of the effectiveness and quality of e-learning in medical education. In E. Smyrnova-Trybulska (Sc. ed.), E-learning and Intercultural Competences Development in Different Countries (pp. 177–196). Katowice–Cieszyn: Studio Noa. Roszak, M., & Kołodziejczak, B. (2012, April). E-ewaluacja wiedzy statystycznej studentów medycyny . Kongres Statystyki Polskiej z okazji jubileuszu 100-lecia Polskiego
Bartosz Pędziński, Paweł Sowa, Waldemar Pędziński, Michalina Krzyżak, Dominik Maślach and Andrzej Szpak
References European Commission. Information Society and Media Directorate General. (2007). Benchmarking ICT use among General Practitioners in Europe 2007, Country Profile: Poland. Chaudhry, B., Wang, J., & Wu, S. (2006). Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine, 144(10), 742-752. Cotea, C. (2010). Electronic Health Record Adoption: Perceived Barriers and Facilitators. Research Coordination Unit, CMVH