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.

För Sverige i framtiden : Bio-objektifiering av ny medicinsk teknologi

Taking Sweden into the future – Bio-objectification of new medical technology In this article, we analyze how contemporary discursive silences around new biotechnologies such as cybrids and induced pluripotent stem cells (iPSC), have been enabled by earlier policy processes in the area, e.g. boundary work around what is human and non-human, living and non-living, subject and object. The analysis of policy processes around xenotransplantations and the use of human embryonic stem cells, shows that the stem cells’ and xenografts’ “bio-identities” become stabilized through high expectations for the future, a lack of therapeutic possibilities and struggles over definitions of life. The policy processes around human embryonic stem cells and organs from other animals, are characterized by a normalization of certain understandings of ”life”, trust in scientific progress and it’s national financial potentials and a categorization of criticism as irrational. Through these “bio-objectification processes”, debate and decision making has been moved from a political and public context into ethical committees and research funding bodies. The article concludes by discussing consequences of this political non-handling of biomedical technologies and how these bioobjects could be re-politicized.