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Selected Topics in Medical Artificial Intelligence

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Cover of 'Selected Topics in Medical Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Artificial Intelligence in Medicine: An Emerging Discipline
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    Chapter 2 Causal Models for Medical Artificial Intelligence
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    Chapter 3 Compiling Causal Knowledge for Diagnostic Reasoning
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    Chapter 4 Development and Use of a Causal Model for Reasoning About Heart Failure
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    Chapter 5 Toward the Diagnosis of Medical Causal Models by Semiquantitative Reasoning
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    Chapter 6 Explaining the Link Between Causal Reasoning and Expert Behavior
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    Chapter 7 Computer-Based Medical Diagnosis Using Belief Networks and Bounded Probabilities
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    Chapter 8 Using Causal Knowledge to Create Simulated Patient Cases: CPCS Project as an Extension of INTERNIST-1
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    Chapter 9 Modeling and Encoding Clinical Causal Relations in a Medical Knowledge Base
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    Chapter 10 Computational Model of Reasoning from the Clinical Literature
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    Chapter 11 Knowledge Acquisition and Verification Tools for Medical Expert Systems
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    Chapter 12 Empirical Analysis and Refinement of Expert System Knowledge Bases
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    Chapter 13 OPAL: Toward the Computer-Aided Design of Oncology Advice Systems
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    Chapter 14 HYDRA: A Knowledge Acquisition Tool for Expert Systems That Critique Medical Work-up
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    Chapter 15 Evaluation of Artificial Intelligence Systems in Medicine
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    Chapter 16 Evaluation of Medical Expert Systems: Experience with the AI/RHEUM Knowledge-Based Consultant System in Rheumatology
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    Chapter 17 Evaluation of Medical Expert Systems: Case Study in Performance Assessment
Attention for Chapter 7: Computer-Based Medical Diagnosis Using Belief Networks and Bounded Probabilities
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Chapter title
Computer-Based Medical Diagnosis Using Belief Networks and Bounded Probabilities
Chapter number 7
Book title
Selected Topics in Medical Artificial Intelligence
Published by
Springer, New York, NY, January 1988
DOI 10.1007/978-1-4613-8777-0_7
Book ISBNs
978-1-4613-8779-4, 978-1-4613-8777-0
Authors

Gregory F. Cooper

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%

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