AIMDM 1999: Aalborg, Denmark
Werner Horn, Yuval Shahar, Gregor Lindberg, Steen Andreassen, Jeremy C. Wyatt (Eds.): Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, Aalborg, Denmark, June 1999, Proceedings. Springer 1999 Lecture Notes in Computer Science ISBN 3-540-66162-X
Keynote Lectures
- Gianpaolo Molino: From Clinical Guidelines to Decision Support. 3-12
- Mario Stefanelli: Artificial Intelligence for Building Learning Health Care Organizations. 13-29
- Yuval Shahar: Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine. 30-46
- Nada Lavrac: Machine Learning for Data Mining in Medicine. 47-64
Guidelines and Protocols
- Silvana Quaglini, C. Mossa, Clara Fassino, Mario Stefanelli, Anna Cavallini, Giuseppe Micieli: Guidelines-Based Workflow Systems. 65-75
- Brigitte Séroussi, Jacques Bouaud, Éric-Charles Antoine: Enhancing Clinical Practice Guideline Compliance by Involving Physicians in the Decision Process. 76-85
- Catherine Sauvagnac, J. Stines, A. Lesur, Pierre Falzon, Pierre Bey: Application of Therapeutic Protocols: A Tool to Manage Medical Knowledge. 86-92
Decision Support Systems, Knowledge-Based Systems, Cooperative Systems
- Benedict du Boulay, Briony Teather, George du Boulay, Nathan Jeffrey, Derek Teather, Mike Sharples, Lisa Cuthbert: From Description to Decision: Towards a Decision Support Training System for MR Radiology of the Brain. 93-102
- Hans-Peter Eich, Christian Ohmann: Internet-Based Decision-Support Server for Acute Abdominal Pain. 103-112
- Stefania Montani, Riccardo Bellazzi, Luigi Portinale, Alberto Riva, Mario Stefanelli: Multi-modal Reasoning in Diabetic Patient Management. 113-123
- Rainer Schmidt, Bernhard Pollwein, Lothar Gierl: Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems. 124-132
- Samir Aknine: Exploiting Social Reasoning of Open Multi-agent Systems to Enhance Cooperation in Hospitals. 133-137
- Concha Bielza, Sixto Ríos-Insua, Manuel Gómez: Influence Diagrams for Neonatal Jaundice Management. 138-142
- I. R. Clark, B. A. McCauley, I. M. Young, P. G. Nightingale, M. Peters, N. T. Richards, D. Adu: Electronic Drug Prescribing and Administration - Bedside Medical Decision Making. 143-147
- Werner Horn, Christian Popow, Christoph Stocker, Silvia Miksch: Neonatal Ventilation Tutor (VIE-NVT), a Teaching Program for the Mechanical Ventilation of Newborn Infants. 148-152
- Ying-Lie O: A Life-Cycle Based Authorisation Expert Database System. 153-157
- Mauro Torchio, Stefania Battista, Fabrizio Bar, Cristina Pollet, Marina Marzuoli, Maria Cesira Bucchi, Roberto Pagni, Gianpaolo Molino: A Decision-Support System for the Identification, Staging, Functional Evaluation of Liver Diseases. 158-164
Model-Based Systems
- Guy Carrault, Marie-Odile Cordier, Rene Quiniou, Mireille Garreau, Jean-Jacques Bellanger, Alain Bardou: A Model-Based Approach for Learning to Identify Cardiac Arrhythmias. 165-174
- Peter J. F. Lucas, Astrid Tholen, Geeske van Oort: A Model-Based System for Pacemaker Reprogramming. 175-184
- Jorge Cruz, Pedro Barahona, Frédéric Benhamou: Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach. 185-196
Neural Networks, Causal Probabilistic Networks
- Steen Andreassen, Leonard Leibovici, Henrik C. Schønheyder, Brian Kristensen, Christian Riekehr, Anders Geill Kjær, Kristian G. Olesen: A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originating from the Urinary Tract. 197-206
- E. A. Fernandez, Jesús María Rodríguez Presedo, Senén Barro: An ECG Ischemic Detection System Based on Self-Organizing Maps and a Sigmoid Function Pre-processing Stage. 207-216
- Martti Juhola, Jorma Laurikkala, Kati Viikki, Yrjö Auramo, Erna Kentala, Ilmari Pyykkö: Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods. 217-226
- Georg Dorffner, Ernst Leitgeb, Heinz Koller: A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG. 227-231
- Wayne Goodridge, Hadrian Peter, Akin Abayomi: The Case-Based Neural Network Model and Its Use in Medical Expert Systems. 232-238
Knowledge Representation
- Domenico M. Pisanelli, Aldo Gangemi, Geri Steve: A Medical Ontology Library That Integrates the UMLS MetathesaurusTM. 239-248
- Soumeya Achour, Michel Dojat, Jean-Marc Brethon, Gil Blain, Eric Lepage: The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion. 249-253
- Paolo Terenziani, Paolo Raviola, Oscar Bruschi, Mauro Torchio, Marina Marzuoli, Gianpaolo Molino: Representing Knowledge Levels in Clinical Guidelines. 254-260
Temporal Reasoning
- Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Stefania Montani, Giuseppe De Nicolao: Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions. 261-270
- Silvia Miksch, Andreas Seyfang, Werner Horn, Christian Popow: Abstracting Steady Qualitative Descriptions over Time from Noisy, High-Frequency Data. 281-290
- Robert Kosara, Silvia Miksch: Visualization Techniques for Time-Oriented, Skeletal Plans in Medical Therapy Planning. 291-300
- Carlo Combi, Luisa Portoni, Francesco Pinciroli: Visualizing Temporal Clinical Data on the WWW. 301-314
Machine Learning
- Subramani Mani, Malcolm B. Dick, Michael J. Pazzani, Evelyn L. Teng, Daniel Kempler, I. Maribell Taussig: Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning. 326-335
- A. McQuatt, P. J. D. Andrews, Derek H. Sleeman, Vincent Corruble, P. A. Jones: The Analysis of Head Injury Data Using Decision Tree Techniques. 336-345
- Blaz Zupan, Janez Demsar, Michael W. Kattan, J. Robert Beck, Ivan Bratko: Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer. 346-355
- Daniel Calvelo, Marie-Christine Chambrin, Denis Pomorski, Pierre Ravaux: ICU Patient State Characterization Using Machine Learning in a Time Series Framework. 356-360
- Dragan Gamberger, Nada Lavrac, Ciril Groselj: Diagnostic Rules of Increased Reliability for Critical Medical Applications. 361-365
- Basilio Sierra, Nicolás Serrano, Pedro Larrañaga, Eliseo J. Plasencia, Iñaki Inza, Juan José Jiménez, Jose María De la Rosa, María Luisa Mora: Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit. 366-371
- Ping Wu, Kok Liang Heng, Shuo Wang Yang, Yi Feng Chen, Ravuru Subramanyam Mohan, Peter Huat Chye Lim: A Screening Technique for Prostate Cancer by Hair Chemical Analysis and Artificial Intelligence. 372-378
Natural Language Processing
- Alison Cawsey, Floriana Grasso, Ray B. Jones: A Conversational Model for Health Promotion on the World Wide Web. 379-388
- Ehud Reiter, Roma Robertson, Liesl Osman: Types of Knowledge Required to Personalise Smoking Cessation Letters. 389-399
- Martin Romacker, Stefan Schulz, Udo Hahn: Small Is Beautiful - Compact Semantics for Medical Language Processing. 400-410
- D. J. Barker, S. C. Lynch, D. S. Simpson, W. A. Corbett: Speech Driven Natural Language Understanding for Hands-Busy Recording of Clinical Information. 411-415
- Pierre Zweigenbaum, Natalia Grabar: Automatic Acquisition of Morphological Knowledge for Medical Language Processing. 416-422
Image Processing and Computer Aided Design
- Laurence Germond, Michel Dojat, Chris J. Taylor, Catherine Garbay: A Multi-agent System for MRI Brain Segmentation. 423-432
- Gabriella Kókai, Zoltán Tóth, Róbert Ványi: Modelling Blood Vessels of the Eye with Parametric L-Systems Using Evolutionary Algorithms. 433-442
- Tim J. Hutton, Peter Hammond, John C. Davenport: Active Shape Models for Customised Prosthesis Design. 448-452
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