Artificial Intelligence in Medicine

9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings
2003
ISBN: 978-3-540-20129-8
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 2780, 394 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1260 g

Reihe: Lecture Notes in Computer Science

The European Society for Arti?cial Intelligence in Medicine (AIME) was - tablished in 1986 with two main goals: 1) to foster fundamental and applied research in the application of Arti?cial Intelligence (AI) techniques to medical care and medical research, and 2) to provide a forum for reporting signi?cant results achieved at biennial conferences. Additionally, AIME assists medical - dustrials to identify new AI techniques with high potential for integration into new products. A major activity of this society has been a series of international conferences,fromMarseille(FR)in1987toCascais(PT)in2001,heldbiennially over the last 16 years. The AIME conference provides a unique opportunity to present and improve the international state of the art of AI in medicine from both a research and an applicationsperspective.Forthispurpose,theAIMEconferenceincludesinvited lectures, contributed papers, system demonstrations, tutorials and workshops. The present volume contains the proceedings of the AIME 2003 conference, the ninthconferenceonArti?cialIntelligenceinMedicineinEurope,heldinCyprus, October 18–22, 2003. In the AIME 2003 conference announcement, we encouraged authors to s- mit original contributions to the development of theory, techniques, and - plications of AI in medicine, including the evaluation of health care programs. Theoretical papers should include a prospective part about possible applications to medical problems solving. Technical papers should describe the novelty of the proposed approach, its assumptions and pros and cons compared to other alt- native techniques. Application papers should present su?cient information to allow the evaluation of the practical bene?ts of the proposed system or meth- ology.

Zielgruppe

Research

Autoren/Hrsg.

Dojat, Michel

Barahona, Pedro

Keravnou, Elpida

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Zeichen- und Zahlendarstellungen
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenkompression, Dokumentaustauschformate
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

Temporal Reasoning.- On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information.- Quality Assessment of Hemodialysis Services through Temporal Data Mining.- Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases.- Prognosis of Approaching Infectious Diseases.- Modeling Multimedia and Temporal Aspects of Semistructured Clinical Data.- NEONATE: Decision Support in the Neonatal Intensive Care Unit – A Preliminary Report.- Abstracting the Patient Therapeutic History through a Heuristic-Based Qualitative Handling of Temporal Indeterminacy.- Ontology, Terminology.- How to Represent Medical Ontologies in View of a Semantic Web?.- Using Description Logics for Managing Medical Terminologies.- Ontology for Task-Based Clinical Guidelines and the Theory of Granular Partitions.- Speech Interfaces for Point-of-Care Guideline Systems.- Text Categorization prior to Indexing for the CISMEF Health Catalogue.- Bodily Systems and the Modular Structure of the Human Body.- Image Processing, Simulation.- Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation.- Qualitative Simulation of Shock States in a Virtual Patient.- 3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory.- A Knowledge-Based System for the Diagnosis of Alzheimer’s Disease.- Guidelines, Clinical Protocols.- DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines.- Experiences in the Formalisation and Verification of Medical Protocols.- Enhancing Conventional Web Content with Intelligent Knowledge Processing.- Linking Clinical Guidelines with Formal Representations.- Computerised Advice on Drug DosageDecisions in Childhood Leukaemia: A Method and a Safety Strategy.- The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions.- Managing Theoretical Single-Disease Guideline Recommendations for Actual Multiple-Disease Patients.- Informal and Formal Medical Guidelines: Bridging the Gap.- Terminology, Natural Language.- Rhetorical Coding of Health Promotion Dialogues.- Learning Derived Words from Medical Corpora.- Learning-Free Text Categorization.- Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology on the Web.- Linking Rules to Terminologies and Applications in Medical Planning.- Machine Learning.- Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines.- Attribute Interactions in Medical Data Analysis.- Combining Supervised and Unsupervised Methods to Support Early Diagnosis of Hepatocellular Carcinoma.- Analysis of Gene Expression Data by the Logic Minimization Approach.- A Journey trough Clinical Applications of Multimethod Decision Trees.- Probabilistic Networks, Bayesian Models.- Detailing Test Characteristics for Probabilistic Networks.- Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation.- Hierarchical Dirichlét Learning – Filling in the Thin Spots in a Database.- A Bayesian Neural Network Approach for Sleep Apnea Classification.- Probabilistic Networks as Probabilistic Forecasters.- Finding and Explaining Optimal Treatments.- Case Based Reasoning, Decision Support.- Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support.- Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment.- Constraint Reasoning in Deep Biomedical Models.- Interactive Decision Support for MedicalPlanning.- Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer.- WoundCare: A Palm Pilot-Based Expert System for the Treatment of Pressure Ulcers.- VIE-DIAB: A Support Program for Telemedical Glycaemic Control.- Data Mining, Knowledge Discovery.- Drifting Concepts as Hidden Factors in Clinical Studies.- Multi-relational Data Mining in Medical Databases.- Invited Talks.- Is It Time to Trade “Wet-Work” for Network?.- Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?.