Structured neural network of medical diagnosis for hepatobiliary diseases.

Structured neural network of medical diagnosis for hepatobiliary diseases. Research Abstract Details 

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Structured neural network of medical diagnosis for hepatobiliary diseases. Abstract Text:

This study aims to apply a structured neural network system for improving diagnostic capabilities of hepatobiliary diseases. Several neural networks were organized according to a priori knowledge. A priori knowledge consists of five pathological states. We compared the diagnostic accuracy of discriminant function, ordinary and structured neural networks. The diagnostic capabilities among testing data were 96% by structured neural network, 70% by ordinary neural network, and 66% by discriminant function. The structured neural network had the significantly higher diagnostic accuracy than the other two methods.

Structured neural network of medical diagnosis for hepatobiliary diseases. Publishing Authors By Initials

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Structured neural network of medical diagnosis for hepatobiliary diseases. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Medinfo. MEDINFO

VOLUME: 8 Pt 1

Page Numbers: 838-42

Journal Abbreviation: Medinfo

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DAY: 10

MONTH: 07

YEAR: 1995

Structured neural network of medical diagnosis for hepatobiliary diseases. Information

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LANGUAGE: eng

NlmUniqueID: 7600347

Structured neural network of medical diagnosis for hepatobiliary diseases. Keywords Mesh Terms:

KEYWORDS: Neural Networks (Computer)

MESH TERMS: diagnosis

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Grant and Affiliation Information for Structured neural network of medical diagnosis for hepatobiliary diseases.

AFFILIATION: Department of Public Health, School of Medicine, St. Marianna University, Kawasaki, Kanagawa 216, Japan.

Country: CANADA

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MEDLINETA: Medinfo

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