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Representation of Neuroanatomical Knowledge by PROLOG

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Book cover Expert Systems and Decision Support in Medicine

Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 36))

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Zusammenfassung

Nach einer kurzen Diskussion des Unterschiedes von “oberflächlichem” und “tiefem” Wissen wird ein Ansatz beschrieben, das “tiefe” anatomische Wissen in eine Wissensbasis abzubilden. In drei Ebenen werden Topologie, Funktionen und Geometrie neuroanatomischer Strukturen dargestellt.Als Werkzeuge dienen PROLOG bzw. hierarchische Symbol-Binär-Koordinaten. Das Verfahren hat sich in der Praxis bewährt.

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© 1988 Springer-Verlag Berlin Heidelberg

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Ohe, K., Kaihara, S. (1988). Representation of Neuroanatomical Knowledge by PROLOG. In: Rienhoff, O., Piccolo, U., Schneider, B. (eds) Expert Systems and Decision Support in Medicine. Lecture Notes in Medical Informatics, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48706-4_38

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  • DOI: https://doi.org/10.1007/978-3-642-48706-4_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-50317-0

  • Online ISBN: 978-3-642-48706-4

  • eBook Packages: Springer Book Archive

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