Peter Brockhausen

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The paper describes a case study in combining di erent methods for acquiring medical knowledge. Given a huge amount of noisy, high dimensional numerical time series data describing patients in intensive care, the support vector machine is used to learn when and how to change the dose of which drug. Given medical knowledge about and expertise in clinical(More)
When learning from very large databases, the reduction of complexity is extremely important. Two extremes of making knowledge discovery in databases (KDD) feasible have been put forward. One extreme is to choose a very simple hypothesis language, thereby being capable of very fast learning on real-world databases. The opposite extreme is to select a small(More)
Establishing electronically accessible repositories of people’s capabilities, experiences, and key knowledge areas is key in setting up Enterprise Knowledge Management. A skills repository can be used for e.g. finding people, staffing, skills gap analysis, and professional development. The ontology based skills management system developed at Swiss Life uses(More)
Operational protocols are a valuable means for quality control. However, developing operational protocols is a highly complex and costly task. We present an integrated approach involving both intelligent data analysis and knowledge acquisition from experts that support the development of operational protocols. The aim is to ensure high quality standards for(More)
Knowledge and Information Systems wishes to acknowledge and thank the individuals listed below who have provided their time and valuable experience to review manuscripts during the past year. It is only through the dedicated efforts of these individuals and those on the Editorial Board listed on the inner front cover, who have also provided valuable input(More)