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  • Produktbild: AIME 91
  • Produktbild: AIME 91
Band 44

AIME 91 Proceedings of the Third Conference on Artificial Intelligence in Medicine, Maastricht, June 24–27, 1991

Fr. 137.00

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

This book contains 26 papers describing research in the do-main of Artificial Intelligence in Medicine. The papers aregrouped around the following themes: Methodology, knowledgerepresentation, clinical applications, modelling, uncertain-ty management, knowledge acquisition, and the user perspec-tive....

Beschreibung

This book contains 26 papers describing research in the do-main of Artificial Intelligence in Medicine. The papers aregrouped around the following themes: Methodology, knowledgerepresentation, clinical applications, modelling, uncertain-ty management, knowledge acquisition, and the user perspec-tive. The book gives an overview of the current state of AIin medicine research in Europe. It presents several techni-ques and methods that are likely to play an important rolein future applications. In the section on clinical applica-tions not only existing systems are described, but resultsof evaluation studies are presented as well.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.06.1991

Abbildungen

VIII, 329 p.

Herausgeber Mario Stefanelli + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.06.1991

Abbildungen

VIII, 329 p.

Herausgeber
Verlag Springer Berlin
Seitenzahl

329

Maße (L/B/H)

24.4/17/1.9 cm

Gewicht

595 g

Sprache

Englisch

ISBN

978-3-540-54144-8

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: AIME 91
  • Produktbild: AIME 91
  • Keynote Addresses.- Model-based Image Segmentation: Methods and Applications.- Real versus Artificial Expertise: The Development of Cognitive Models of Clinical Reasoning.- Methodology.- A Developmental Perspective on the Role of Biomedical Knowledge in Medical Problem Solving; Implications for Al.- Reconstructing Medical Problem Solving Competence: MACCORD.- The Role of Domain Models in Maintaining Consistency of Large Medical Knowledge Bases.- Knowledge Representation.- A Framework for Causal Reasoning with a Functional Approach.- Modelling and Knowledge (Re)presentation within HIOS+.- Medical Knowledge Representation and Predictive Data Entry.- Clinical Applications.- A Connectionist Aid to the Early Diagnosis of Myocardial Infarction.- Automation of Medical Audit in General Practice.- An Intelligent System for Monitoring Infections in Heart Transplant Recipients.- Measuring Performance of a Bayesian Decision Support System for the Diagnosis of Rheumatic Disorders.- The Application of Distributed Artificial Intelligence to Medical Diagnosis.- Knowledge Representation of Discharge Summaries.- Modelling.- Dual Teleological Perspectives in Qualitative Circulatory Analysis.- Physiological Modelling Using RL.- Integrated Use of Causal and Algebraic Physiological Models to Support Anaesthetists in Decision Making.- Uncertainty Management.- Cytotoxic Chemotherapy Monitoring Using Stochastic Simulation on Graphical Models.- A Model-Based Approach to Insulin Adjustment.- A Blackboard Control Architecture for Therapy Planning.- Knowledge Acquisition.- A Comparative Evaluation of Three Approaches to the Acquisition of Medical Knowledge.- A Knowledge Acquisition Tool for Medical Diagnostic Knowledge-Based Systems.- Machine Learning in Data Rich Domains: Some Experiences from theKAVAS Project.- The User Perspective.- Patient’s and Physician’s Opinion about Computer Expert Systems.- Designing an Adaptive Interface for EPIAIM.- CAP: A Critiquing Expert System for Medical Education.