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|a AIME 91
|h [electronic resource] :
|b Proceedings of the Third Conference on Artificial Intelligence in Medicine, Maastricht, June 24–27, 1991 /
|c edited by Mario Stefanelli, Arie Hasman, Marius Fieschi, Jan Talmon.
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250 |
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|a 1st ed. 1991.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 1991.
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300 |
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|a VIII, 329 p.
|b online resource.
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|a Lecture Notes in Medical Informatics,
|x 0172-7788 ;
|v 44
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|a Springer eBook Collection
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|a 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 the KAVAS 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.
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|a This book contains 26 papers describing research in the do- main of Artificial Intelligence in Medicine. The papers are grouped around the following themes: Methodology, knowledge representation, clinical applications, modelling, uncertain- ty management, knowledge acquisition, and the user perspec- tive. The book gives an overview of the current state of AI in medicine research in Europe. It presents several techni- ques and methods that are likely to play an important role in future applications. In the section on clinical applica- tions not only existing systems are described, but results of evaluation studies are presented as well.
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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650 |
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|a Medicine.
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|a Statistics .
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|a Artificial intelligence.
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690 |
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|a Electronic resources (E-books)
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|a Stefanelli, Mario.
|e editor.
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|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
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|a Hasman, Arie.
|e editor.
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|a Fieschi, Marius.
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700 |
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|a Talmon, Jan.
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