LEADER 08731nam 22008175 450 001 9910485016803321 005 20251226202746.0 024 7 $a10.1007/11527770 035 $a(CKB)1000000000213138 035 $a(SSID)ssj0000316353 035 $a(PQKBManifestationID)11246736 035 $a(PQKBTitleCode)TC0000316353 035 $a(PQKBWorkID)10275880 035 $a(PQKB)11293098 035 $a(DE-He213)978-3-540-31884-2 035 $a(MiAaPQ)EBC3067775 035 $a(PPN)123096235 035 $a(EXLCZ)991000000000213138 100 $a20101222d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Intelligence in Medicine $e10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings /$fedited by Silvia Miksch, Jim Hunter, Elpida Keravnou 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XVIII, 550 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3581 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-31884-4 311 08$a3-540-27831-1 320 $aIncludes bibliographical references and index. 327 $aInvited Talks -- Ontology Mapping: A Way Out of the Medical Tower of Babel? -- Human Computer Interaction in Context Aware Wearable Systems -- Temporal Representation and Reasoning -- A New Approach to the Abstraction of Monitoring Data in Intensive Care -- Learning Rules with Complex Temporal Patterns in Biomedical Domains -- Discriminating Exanthematic Diseases from Temporal Patterns of Patient Symptoms -- Probabilistic Abstraction of Multiple Longitudinal Electronic Medical Records -- Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data -- Data-Driven Analysis of Blood Glucose Management Effectiveness -- Extending Temporal Databases to Deal with Telic/Atelic Medical Data -- Dichotomization of ICU Length of Stay Based on Model Calibration -- Decision Support Systems -- AtherEx: An Expert System for Atherosclerosis Risk Assessment -- Smooth Integration of Decision Support into an Existing Electronic Patient Record -- REPS: A Rehabilitation Expert System for Post-stroke Patients -- Clinical Guidelines and Protocols -- Testing Asbru Guidelines and Protocols for Neonatal Intensive Care -- EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations -- Design Patterns for Modelling Guidelines -- Improving Clinical Guideline Implementation Through Prototypical Design Patterns -- Automatic Derivation of a Decision Tree to Represent Guideline-Based Therapeutic Strategies for the Management of Chronic Diseases -- Exploiting Decision Theory for Supporting Therapy Selection in Computerized Clinical Guidelines -- Helping Physicians to Organize Guidelines Within Conceptual Hierarchies -- MHB ? A Many-Headed Bridge Between Informal and Formal Guideline Representations -- Clinical Guidelines Adaptation: Managing Authoring and Versioning Issues.-Open-Source Publishing of Medical Knowledge for Creation of Computer-Interpretable Guidelines -- A History-Based Algebra for Quality-Checking Medical Guidelines -- The Spock System: Developing a Runtime Application Engine for Hybrid-Asbru Guidelines -- AI Planning Technology as a Component of Computerised Clinical Practice Guidelines -- Gaining Process Information from Clinical Practice Guidelines Using Information Extraction -- Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines -- Formalising Medical Quality Indicators to Improve Guidelines -- Ontology and Terminology -- Oncology Ontology in the NCI Thesaurus -- Ontology-Mediated Distributed Decision Support for Breast Cancer -- Multimedia Data Management to Assist Tissue Microarrays Design -- Building Medical Ontologies Based on Terminology Extraction from Texts: Methodological Propositions -- Translating Biomedical Terms by Inferring Transducers -- Using Lexical and Logical Methods for the Alignment of Medical Terminologies -- Latent Argumentative Pruning for Compact MEDLINE Indexing -- A Benchmark Evaluation of the French MeSH Indexers -- Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques -- Ontology of Time and Situoids in Medical Conceptual Modeling -- The Use of Verbal Classification for Determining the Course of Medical Treatment by Medicinal Herbs -- Case-Based Reasoning, Signal Interpretation, Visual Mining -- Interactive Knowledge Validation in CBR for Decision Support in Medicine -- Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support -- Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks -- Towards Information Visualization and Clustering Techniques for MRI Data Sets -- Computer Vision and Imaging -- Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps -- Automatic Landmarking of Cephalograms by Cellular Neural Networks -- Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure -- Morphometry of the Hippocampus Based on a Deformable Model and Support Vector Machines -- Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics -- Knowledge Management -- Multi-agent Patient Representation in Primary Care -- Clinical Reasoning Learning with Simulated Patients -- Implicit Learning System for Teaching the Art of Acute Cardiac Infarction Diagnosis -- Which Kind of Knowledge Is Suitable for Redesigning Hospital Logistic Processes? -- Machine Learning, Knowledge Discovery and Data Mining -- Web Mining Techniques for Automatic Discovery of Medical Knowledge -- Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies -- An Evolutionary Divide and Conquer Method for Long-Term Dietary Menu Planning -- Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series -- Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System -- A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining -- Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach -- Subgroup Mining for Interactive Knowledge Refinement -- Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra -- On Understanding and Assessing Feature Selection Bias -- A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis -- Learning Rules from Multisource Data for Cardiac Monitoring -- Effective Confidence Region Prediction Using Probability Forecasters -- Signature Recognition Methods for Identifying Influenza Sequences -- Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models -- An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset -- Relation Mining over a Corpus of Scientific Literature. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3581 606 $aArtificial intelligence 606 $aMedical informatics 606 $aComputer vision 606 $aApplication software 606 $aInformation storage and retrieval systems 606 $aDatabase management 606 $aArtificial Intelligence 606 $aHealth Informatics 606 $aComputer Vision 606 $aComputer and Information Systems Applications 606 $aInformation Storage and Retrieval 606 $aDatabase Management 615 0$aArtificial intelligence. 615 0$aMedical informatics. 615 0$aComputer vision. 615 0$aApplication software. 615 0$aInformation storage and retrieval systems. 615 0$aDatabase management. 615 14$aArtificial Intelligence. 615 24$aHealth Informatics. 615 24$aComputer Vision. 615 24$aComputer and Information Systems Applications. 615 24$aInformation Storage and Retrieval. 615 24$aDatabase Management. 676 $a006.3 701 $aMiksch$b Silvia$01634507 701 $aHunter$b J$g(Jim),$f1945-$01762591 701 $aKeravnou-Papailiou$b Elpida$01762592 712 12$aConference on Artificial Intelligence in Medicine (2005- ) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910485016803321 996 $aArtificial intelligence in medicine$94202606 997 $aUNINA