Citizenship formation for a new millennium in Sweden : a prognosis of our time

The aim of this article is to forecast the present situation of citizenship formation in the field of Swedish education. In highlighting trends and tendencies in the educational assignment to provide for democratic citizenship in the first decade of the 21st century, which can be characterised as lacking collective visions for change, three depictions of citizenship are prevailing: citizenship formation for deliberation, for entrepreneurship and for therapeutic intervention. These depictions are analysed in terms of the direction for action taking and attention that they stress and produce as concerns citizenship in the making. The first one, citizenship formation for deliberation, stresses an inward-looking and inward-feeling citizenship. The second one, citizenship formation for entrepreneurship, stresses an inward-looking and outward-making citizenship, and the third one, citizenship formation for therapeutic intervention, stresses an inward-looking and outward-making citizenship. Taking on this forecast, which actualises democracy as something that is already achieved as a consequence of an assumedly post political situation, we argue that citizenship as well as society itself risks being pictured as apolitical and democratically “saturated.” This situation is hazardous, we argue, as it does not open up for change to come into question as desirable or even possible. Put differently, it leaves us with the notion that things have to be as they are, as we are living in the best of worlds. 

Clustering Lab value working with medical data

Data mining is a relatively new field of research that its objective is to acquire knowledge from large amounts of data. In medical and health care areas, due to regulations and due to the availability of computers, a large amount of data is becoming available [27]. On the one hand, practitioners are expected to use all this data in their work but, at the same time, such a large amount of data cannot be processed by humans in a short time to make diagnosis, prognosis and treatment schedules. A major objective of this thesis is to evaluate data mining tools in medical and health care applications to develop a tool that can help make rather accurate decisions. In this thesis, the goal is finding a pattern among patients who got pneumonia by clustering of lab data values which have been recorded every day. By this pattern we can generalize it to the patients who did not have been diagnosed by this disease whose lab values shows the same trend as pneumonia patients does. There are 10 tables which have been extracted from a big data base of a hospital in Jena for my work .In ICU (intensive care unit), COPRA system which is a patient management system has been used. All the tables and data stored in German Language database.