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2-D Vector Representation of Multi -Dimensional Symptom Space for Computer Aided Medical Diagnosis

  • Conference paper
ASST ’87 6. Aachener Symposium für Signaltheorie

Part of the book series: Informatik-Fachberichte ((INFORMATIK,volume 153))

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Abstract

One of the major objectives of the computer-aided diagnosis is to construct an algorithm for medical diagnosis which is hopefully help physicians in accuracy as well as insight. Many theoretical approaches to this aim were proposed by researchers, but most of them utilize the d iscriminant analysis.

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© 1987 Springer-Verlag Berlin Heidelberg

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Sekiya, T., Watanabe, A., Saito, M., Kikuchi, M. (1987). 2-D Vector Representation of Multi -Dimensional Symptom Space for Computer Aided Medical Diagnosis. In: Meyer-Ebrecht, D. (eds) ASST ’87 6. Aachener Symposium für Signaltheorie. Informatik-Fachberichte, vol 153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73015-3_32

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  • DOI: https://doi.org/10.1007/978-3-642-73015-3_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18401-0

  • Online ISBN: 978-3-642-73015-3

  • eBook Packages: Springer Book Archive

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