Artificial Intelligence in Medicine: 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, ProceedingsSilvia Miksch, Jim Hunter, Elpida Keravnou This book constitutes the refereed proceedings of the 10th Conference on Artificial Intelligence in Medicine in Europe, AIME 2005, held in Aberdeen, UK in July 2005. The 35 revised full papers and 34 revised short papers presented together with 2 invited contributions were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on temporal representation and reasoning, decision support systems, clinical guidelines and protocols, ontology and terminology, case-based reasoning, signal interpretation, visual mining, computer vision and imaging, knowledge management, machine learning, knowledge discovery, and data mining. |
Contents
| 3 | |
Learning Rules with Complex Temporal Patterns in Biomedical Domains | 23 |
Probabilistic Abstraction of Multiple Longitudinal Electronic Medical | 43 |
Extending Temporal Databases to Deal with TelicAtelic Medical Data | 58 |
An Expert System for Atherosclerosis Risk Assessment | 78 |
MHB A ManyHeaded Bridge Between Informal and Formal | 146 |
A HistoryBased Algebra for QualityChecking Medical Guidelines | 161 |
Gaining Process Information from Clinical Practice Guidelines Using | 181 |
Automatic Landmarking of Cephalograms by Cellular Neural Networks | 333 |
Recognizing Explicit and Implicit | 343 |
Morphometry of the Hippocampus Based on a Deformable Model | 353 |
Automatic Segmentation of WholeBody Bone Scintigrams as | 363 |
Multiagent Patient Representation in Primary Care | 375 |
Clinical Reasoning Learning with Simulated Patients | 385 |
Which Kind of Knowledge Is Suitable for Redesigning Hospital Logistic | 400 |
Mining | 409 |
Formalising Medical Quality Indicators to Improve Guidelines | 201 |
OntologyMediated Distributed Decision Support for Breast Cancer | 221 |
Building Medical Ontologies Based on Terminology Extraction from | 231 |
Using Lexical and Logical Methods for the Alignment of Medical | 241 |
A Benchmark Evaluation of the French MeSH Indexers | 251 |
Ontology of Time and Situoids in Medical Conceptual Modeling | 266 |
The Use of Verbal Classification in Determining the Course of Medical | 276 |
Adaptation and Medical CaseBased Reasoning Focusing on Endocrine | 300 |
Transcranial Magnetic Stimulation TMS to Evaluate and Classify | 310 |
Towards Automated Interpretation | 321 |
An Evolutionary Divide and Conquer Method for LongTerm Dietary | 419 |
Interactive Knowledge Validation in CBR for Decision Support | 423 |
A Data Preprocessing Method to Increase Efficiency and Accuracy | 434 |
Subgroup Mining for Interactive Knowledge Refinement | 453 |
On Understanding and Assessing Feature Selection Bias | 468 |
Learning Rules from Multisource Data for Cardiac Monitoring | 484 |
Signature Recognition Methods for Identifying Influenza Sequences | 504 |
An Algorithm to Learn Causal Relations Between Genes from Steady | 524 |
| 545 | |
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Artificial Intelligence in Medicine: 10th Conference on Artificial ... Silvia Miksch,Jim Hunter,Elpida Keravnou No preview available - 2009 |
Common terms and phrases
Abstract accuracy actions adaptation agent algorithm allergen analysis annotation application approach Artificial Intelligence Asbru automatically Bayesian Bayesian network Berlin Heidelberg 2005 biomedical cancer Case-Based Reasoning classification clinical guidelines complex Computer concepts constraints data mining database dataset decision support decision tree defined described detection developed diagnosis disease domain evaluation example expert extraction feature FiO2 formal function fuzzy gene graph hippocampus identify implemented influence diagram interaction keratoconus knowledge base landmarks LNAI machine learning mapping Medical Informatics Medicine method Miksch multi-agent systems multisource n-gram neural network node obtained ontology parameters patient patterns performed points problem Proc query relations relevant represent representation retrieval rules scintigraphy selection semantic sequences sketch spatial specific Springer-Verlag Berlin Heidelberg step structure student subgroup Support Vector Machines task TeachMed techniques templates temporal therapy tion treatment values variables vector visualization