Artificial intelligence in medicine : Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, Aalborg, Denmark, June 20-24, 1999 : proceedings

This book constitutes the refereed proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, held in Aalborg, Denmark, in June 1999. The 27 full papers and 19 short papers presented in the book together with four invited papers were selected from 90 submissions. The papers are organized in topical sections on guidelines and protocols; decision support systems, knowledge-based systems, and cooperative systems; model-based systems; neural nets and causal probabilistic networks; knowledge representation; temporal reasoning; machine learning; natural language processing; and image processing and computer aided design. From Clinical Guidelines to Decision Support....Pages 3-12 Artificial Intelligence for Building Learning Health Care Organizations....Pages 13-29 Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine....Pages 30-46 Machine Learning for Data Mining in Medicine....Pages 47-62 Guidelines-Based Workflow Systems....Pages 65-75 Enhancing Clinical Practice Guideline Compliance by Involving Physicians in the Decision Process....Pages 76-85 Application of Therapeutic Protocols: A Tool to Manage Medical Knowledge....Pages 86-90 From Description to Decision: Towards a Decision Support Training System for MR Radiology of the Brain....Pages 93-102 Internet-Based Decision-Support Server for Acute Abdominal Pain....Pages 103-112 Multi-modal Reasoning in Diabetic Patient Management....Pages 113-123 Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems....Pages 124-132 Exploting Social Reasoning of Open Multi-agent Systems to Enahnce Cooperation in Hospitals....Pages 133-137 Influence Diagrams for Neonatal Jaundice Management....Pages 138-142 Electronic Drug Prescribing and Administration - Bedside Medical Decision Making....Pages 143-147 Neonatal Ventilation Tutor (VIE-NVT), a Teaching Program for the Mechanical Ventilation of Newborn Infants....Pages 148-152 A Life-Cycle Based Authorisation Expert Database System....Pages 153-157 A Decision-Support System for the Identification, Staging, and Functional Evaluation of Liver Diseases ( HEPASCORE )....Pages 158-162 A Model-Based Approach for Learning to Identify Cardiac Arrhythmias....Pages 165-174 A Model-Based System for Pacemaker Reprogramming....Pages 175-184 Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach....Pages 185-194 A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originating from the Urinary Tract....Pages 197-206 An ECG Ischemic Detection System Based on Self-Organizing Maps and a Sigmoid Function Pre-processing Stage....Pages 207-216 Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods....Pages 217-226 A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG....Pages 227-231 The Case-Based Neural Network Model and Its Use in Medical Expert Systems....Pages 232-236 A Medical Ontology Library That Integrates the UMLS MetathesaurusTM....Pages 239-248 The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion....Pages 249-253 Representing Knowledge Levels in Clinical Guidelines....Pages 254-258 Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions....Pages 261-270 Knowledge-Based Event Detection in Complex Time Series Data....Pages 271-280 Abstracting Steady Qualitative Descriptions over Time from Noisy, High-Frequency Data....Pages 281-290 Visualization Techniques for Time-Oriented, Skeletal Plans in Medical Therapy Planning....Pages 291-300 Visualizing Temporal Clinical Data on the WWW....Pages 301-311 Machine Learning in Stepwise Diagnostic Process....Pages 315-325 Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning....Pages 326-335 The Analysis of Head Injury Data Using Decision Tree Techniques....Pages 336-345 Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer....Pages 346-355 ICU Patient State Characterization Using Machine Learning in a Time Series Framework....Pages 356-360 Diagnostic Rules of Increased Reliability for Critical Medical Applications....Pages 361-365 Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit?....Pages 366-371 A Screening Technique for Prostate Cancer by Hair Chemical Analysis and Artificial Intelligence....Pages 372-376 A Conversational Model for Health Promotion on the World Wide Web....Pages 379-388 Types of Knowledge Required to Personalise Smoking Cessation Letters....Pages 389-399 Small Is Beautiful — Compact Semantics for Medical Language Processing....Pages 400-410 Speech Driven Natural Language Understanding for Hands-Busy Recording of Clinical Information....Pages 411-415 Automatic Acquisition of Morphological Knowledge for Medical Language Processing....Pages 416-420 A Multi-agent System for MRI Brain Segmentation....Pages 423-432 Modelling Blood Vessels of the Eye with Parametric L-Systems Using Evolutionary Algorithms....Pages 433-442 Animating Medical and Safety Knowledge....Pages 443-447 Active Shape Models for Customised Prosthesis Design....Pages 448-452

This book constitutes the refereed proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, held in Aalborg, Denmark, in June 1999.
The 27 full papers and 19 short papers presented in the book together with four invited papers were selected from 90 submissions. The papers are organized in topical sections on guidelines and protocols; decision support systems, knowledge-based systems, and cooperative systems; model-based systems; neural nets and causal probabilistic networks; knowledge representation; temporal reasoning; machine learning; natural language processing; and image processing and computer aided design.

Jeffrey Rose

This book is a compilation of papers (proceedings) from the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999. It contains sections on guidelines, knowledge support systems, model based systems, neural and probabilistic networks, knowledge representation, temporal reasoning, machine learning, natural language, and image processing. The purpose is to provide proceeding papers from the conference for reference. The audience for this book is those devoted to and already knowledgeable about the aspects of artificial intelligence (AI) as described above. This is a compilation of papers in proceedings-style, so they vary enormously in quality and interest, as is the usual case with symposia of conferences. The European perspective is interesting, but probably of limited value to the average American reader. Nonetheless, with global healthcare emerging, this book is of some importance to those familiar with and interested in the field. Health informatics experts may learn from some of the key-note observations and papers of relevance to their studies, but this is certainly not a book for a general informatics audience. This book is nicely presented, but of limited utility outside of that of reference research reports and highly specific AI topics. It is, as is the nature of proceedings, disjointed and somewhat non-cohesive. It is of value to those with passionate interest in artificial intelligence and decision support in medicine from a largely European perspective. It is neither good nor bad, but typical of symposium proceedings, and as such has the inherent irregularities of quality and cohesiveness of conference reports.

Artificial Intelligence in Medicine: Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99 Aalborg, Denmark, June 20–24, 1999 Proceedings Author: Werner Horn, Yuval Shahar, Greger Lindberg, Steen Andreassen, Jeremy Wyatt Published by Springer Berlin Heidelberg ISBN: 978-3-540-66162-7 DOI: 10.1007/3-540-48720-4 Table of Contents: From Clinical Guidelines to Decision Support Artificial Intelligence for Building Learning Health Care Organizations Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine Machine Learning for Data Mining in Medicine Guidelines-Based Workflow Systems Enhancing Clinical Practice Guideline Compliance by Involving Physicians in the Decision Process Application of Therapeutic Protocols: A Tool to Manage Medical Knowledge From Description to Decision: Towards a Decision Support Training System for MR Radiology of the Brain Internet-Based Decision-Support Server for Acute Abdominal Pain Multi-modal Reasoning in Diabetic Patient Management Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems Exploting Social Reasoning of Open Multi-agent Systems to Enahnce Cooperation in Hospitals Influence Diagrams for Neonatal Jaundice Management Electronic Drug Prescribing and Administration - Bedside Medical Decision Making Neonatal Ventilation Tutor (VIE-NVT), a Teaching Program for the Mechanical Ventilation of Newborn Infants A Life-Cycle Based Authorisation Expert Database System A Decision-Support System for the Identification, Staging, and Functional Evaluation of Liver Diseases (HEPASCORE) A Model-Based Approach for Learning to Identify Cardiac Arrhythmias A Model-Based System for Pacemaker Reprogramming Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach The European Societies for Arti cial Intelligence in Medicine (AIME) and M- ical Decision Making (ESMDM) were both established in 1986.A major activity of both these societies has been a series of international conferences, held bi- nially over the last 13 years. In the year 1999 the two societies organized a joint conference for the r st time. It took place from June 20{24th, 1999 in Aalborg, Denmark. This \Joint European Conference on Arti cial Intelligence in Medicine and Medical Decision Making (AIMDM'99)" was the seventh conference for each of thetwosocieties. ThisconferencefollowstheAIMEconferencesheldinMarseilles (1987), London (1989), Maastricht (1991), Munich (1993), Pavia (1995), and Grenoble(1997). PreviousESMDMconferenceshavebeenheldinLeiden(1986), Copenhagen (1988), Glasgow (1990), Marburg (1992), Lille (1994), and Torino (1996). The AIMDM conference is the major forum for the presentation and d- cussion of new ideas in the areas of Arti cial Intelligence and Medical Decision Making in Medicine. This ful lls the aims of both societies. The aims of AIME are to foster fundamental and applied researchin the applicationof Arti cial - telligence (AI) techniques to medicalcareandmedicalresearch, andto providea forum for reporting signi cant results achieved. ESMDM's aims are to promote research and training in medical decision-making, and to provide a forum for circulating ideas and programs of related interest. In the AIMDM'99 conference announcement, authors were encouraged to submit original contributions to the development of theory, techniques, and - plications of both AI in medicine (AIM) and medical decision making (MDM)