Artificial Intelligence in Medicine: 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings / Edition 1

by Michel Dojat, Elpida Keravnou, Pedro Barahona

Overview

This book constitutes the refereed proceedings of the 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, held in Protaras, Cyprus, in October 2003.

The 24 revised full papers and 26 revised short papers presented together with two invited contributions were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on temporal reasoning, ontology and terminology, image processing and simulation, guidelines and clinical prools, terminology and natural language issues, machine learning, probabilistic networks and Bayesian models, case-based reasoning and decision support, and data mining and knowledge discovery.

Product Details

ISBN-13:	9783540201298
Publisher:	Springer Berlin Heidelberg
Publication date:	12/05/2003
Series:	Lecture Notes in Computer Science , #2780
Edition description:	2003
Pages:	394
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

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 Prools.- DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines.- Experiences in the Formalisation and Verification of Medical Prools.- 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 Hepaellular 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?.