Computerized neurological diagnosis: A paradigm of modeling and reasoning

Z. Xiang; J. G. Chutkow; S. C. Shapiro; S. N. Srihari

Computerized neurological diagnosis: A paradigm of modeling and reasoning

Z. Xiang
, J. G. Chutkow
, S. C. Shapiro
, S. N. Srihari

Department of Computer Science and Engineering

SUNY Buffalo

Research output: Contribution to journal › Article › peer-review

Abstract

Neurological diagnosis is an ideal application of artificial intelligence. This paper reviews work on the design of model-based expert computer systems intended to simulate human behavior, with an emphasis on the modeling schemes and reasoning mechanisms of these systems, and presents the authors' experimental approach to neuroanatomic localization.

Original language	English
Pages (from-to)	90-105
Number of pages	16
Journal	Health Care Instrumentation
Volume	3
Issue number	1
State	Published - 1986

Cite this

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title = "Computerized neurological diagnosis: A paradigm of modeling and reasoning",

abstract = "Neurological diagnosis is an ideal application of artificial intelligence. This paper reviews work on the design of model-based expert computer systems intended to simulate human behavior, with an emphasis on the modeling schemes and reasoning mechanisms of these systems, and presents the authors' experimental approach to neuroanatomic localization.",

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AB - Neurological diagnosis is an ideal application of artificial intelligence. This paper reviews work on the design of model-based expert computer systems intended to simulate human behavior, with an emphasis on the modeling schemes and reasoning mechanisms of these systems, and presents the authors' experimental approach to neuroanatomic localization.

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JO - Health Care Instrumentation

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Computerized neurological diagnosis: A paradigm of modeling and reasoning

Abstract

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