Aime 91: Proceedings of the Third Conference on Artificial Intelligence in Medicine, Maastricht, June 24-27, 1991

ISBN-13: 9783540541448 / Angielski / Miękka / 1991 / 329 str.

Mario Stefanelli; Arie Hasman; Marius Fieschi

Opis

Contains the proceedings of a conference which explored contemporary research in the field of artificial intelligence in medicine. The contributors discussed methodology, knowledge representation, clinical applications, modelling, uncertainty management, knowledge acquisition and more.

Spis treści

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.