Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

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Title

How to acquire and structuralize knowledge for medical rule-based systems?

Authors

[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ 2 ] Instytut Matematyki, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2008

Chapter type

chapter in monograph

Publication language

english

Abstract

EN The intention of a medical expert system is to help doctors make right diagnostic and therapeutic decisions concerning, sometimes not very well-known to them, diseases. This expert system needs a high quality knowledge base. In order to design such a base one has to reach sources containing knowledge that is current, rich and based on reliable medical experiments. At the same time, due to various formats of this knowledge storing, its acquisition and structuralization to the form required by expert systems is not an easy task. Focusing our attention on medical rule-based systems, we propose the algorithms and tools that will be useful while designing such a knowledge base.

Pages (from - to)

99 - 116

DOI

10.1007/978-3-540-77475-4_7

URL

https://link.springer.com/chapter/10.1007/978-3-540-77475-4_7

Book

Knowledge-driven computing : knowledge engineering and intelligent computations

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