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AIME 91

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

Mario Stefanelli, Arie Hasman, Marius Fieschi, Jan Talmon (Herausgeber)

Buch | Softcover

VIII, 329 Seiten

1991
Springer Berlin (Verlag)
978-3-540-54144-8 (ISBN)

Lese- und Medienproben

Inhaltsverzeichnis (PDF)

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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.

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.

Erscheint lt. Verlag	5.6.1991
Reihe/Serie	Lecture Notes in Medical Informatics
Zusatzinfo	VIII, 329 p.
Verlagsort	Berlin
Sprache	englisch
Maße	170 x 244 mm
Gewicht	570 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Medizin / Pharmazie ► Allgemeines / Lexika
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
Schlagworte	Artificial Intelligence • Diagnosis • Expert System • Image Segmentation • Knowledge Acquisition • knowledge base • Knowledge Representation • Künstliche Intelligenz • learning • machine learning • Modeling • Modelling • Problem Solving • therapy • Uncertainty Management
ISBN-10	3-540-54144-6 / 3540541446
ISBN-13	978-3-540-54144-8 / 9783540541448
Zustand	Neuware