Artificial Intelligence in Medicine [[electronic resource] ] : 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings / / edited by Silvia Miksch, Jim Hunter, Elpida Keravnou

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
• Edizione: 1st ed. 2005.
• Descrizione fisica: 1 online resource (XVIII, 550 p.)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Health informatics; Optical data processing; Application software; Information storage and retrieval; Database management; Artificial Intelligence; Health Informatics; Image Processing and Computer Vision; Information Systems Applications (incl. Internet); Information Storage and Retrieval; Database Management
• Persona (resp. second.): MikschSilvia; HunterJim; KeravnouElpida
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Invited 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.
• Titolo autorizzato: Artificial Intelligence in Medicine
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465783403316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence ; ; 3581