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We apply them to the monitoring of the kidney function in an Intensive Care Unit (ICU) setting. We generate course-characteristic trend descriptions of the renal function over the course of time. Using Case-Based Reasoning retrieval methods, we search in the case base for courses similar to the, current trend descriptions. We present a current course together with similar courses as comparisons and as possible prognoses to the user. 1. Introduction Up to 60% of the body mass of an adult person consists of water.

Boswell. Rule induction with CN2: Some recent improvements. Kodratoff, editor, Proceedings of the European Working Session on Learning : Machine Learning (EWSL-91), volume 482 of LNAI, pages 151-163, Porto, Portugal, March 1991. Springer Verlag. [5] Peter Clark and Tim Niblett. The CN2 induction algorithm. Machine Learning, 3:261, 1988. [6] Usama M. Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth. Advances in Knowledge Discovery and Data Mining, chapter From Data Mining to Knowledge Discovery: An Overview.

R. Thagard. Induction: Processes of Inference, Learning, and Discovery. MIT Press, Cambridge, MA, 1987. [11]. Meta Group Inc. Data mining: Trends, technology, and implementation imperatives, February 1997. [12]. A. Simon. Applications of machine learning and rule induction. Communications of the ACM, 38(11):55-64, Nov 1995. [13]. Nada Lavrac, Elpida Keravnou, and Blaz Zupan. Intelligent Data Analysis in Medicine and Pharmacology, chapter Intelligent Data Analysis in Medicine and Pharmacology: An Overview, pages 1-13.

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Die Krise (conference) by Husserl Edmund

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