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Artificial Intelligence in Medicine 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bellazzi, Riccardo (Editor ), Abu-Hanna, Ameen (Editor ), Hunter, Jim (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Lecture Notes in Artificial Intelligence, 4594
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Agent-Based Systems
  • A Human-Machine Cooperative Approach for Time Series Data Interpretation
  • MRF Agent Based Segmentation: Application to MRI Brain Scans
  • R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision-Making Teams
  • Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations
  • Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy
  • An Ontology-Driven Agent-Based Clinical Guideline Execution Engine
  • Temporal Data Mining
  • An Intelligent Aide for Interpreting a Patient's Dialysis Data Set
  • Temporal Data Mining with Temporal Constraints
  • A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease
  • Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes
  • Discovery and Integration of Organ-Failure Episodes in Mortality Prediction
  • Machine Learning and Knowledge Discovery
  • Contrast Set Mining for Distinguishing Between Similar Diseases
  • Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease
  • Classifying Alarms in Intensive Care - Analogy to Hypothesis Testing
  • Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
  • Interpreting Gene Expression Data by Searching for Enriched Gene Sets
  • Variable Selection for Optimal Decision Making
  • Supporting Factors in Descriptive Analysis of Brain Ischaemia
  • Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences
  • Machine Learning Techniques for Decision Support in Anesthesia
  • Learning Decision Tree for Selecting QRS Detectors for Cardiac Monitoring
  • Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization
  • An Integrated IT System for Phenotypic and Genotypic Data Mining and Management
  • Automatic Retrieval of Web Pages with Standards of Ethics and Trustworthiness Within a Medical Portal: What a Page Name Tells Us
  • A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile
  • Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants
  • Multi-level Clustering in Sarcoidosis: A Preliminary Study
  • Text Mining, Natural Language Processing and Generation
  • An Experiment in Automatic Classification of Pathological Reports
  • Literature Mining: Towards Better Understanding of Autism
  • Automatic Generation of Textual Summaries from Neonatal Intensive Care Data
  • Anonymisation of Swedish Clinical Data
  • MetaCoDe: A Lightweight UMLS Mapping Tool
  • Unsupervised Documents Categorization Using New Threshold-Sensitive Weighting Technique
  • Application of Cross-Language Criteria for the Automatic Distinction of Expert and Non Expert Online Health Documents
  • Extracting Specific Medical Data Using Semantic Structures
  • Ontologies
  • Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data
  • Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus
  • Replacing SEP-Triplets in SNOMED CT Using Tractable Description Logic Operators
  • Building an Ontology of Hypertension Management
  • Analyzing Differences in Operational Disease Definitions Using Ontological Modeling
  • Decision Support Systems
  • Adaptive Optimization of Hospital Resource Calendars
  • On the Behaviour of Information Measures for Test Selection
  • Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm
  • Enhancing Automated Test Selection in Probabilistic Networks
  • ProCarSur: A System for Dynamic Prognostic Reasoning in Cardiac Surgery
  • Content Collection for the Labelling of Health-Related Web Content
  • Bayesian Network Decomposition for Modeling Breast Cancer Detection
  • A Methodology for Automated Extraction of the Optimal Pathways from Influence Diagrams
  • Computer-Aided Assessment of Drug-Induced Lung Disease Plausibility
  • Applications of AI-Based Image Processing Techninques
  • Segmentation Techniques for Automatic Region Extraction: An Application to Aphasia Rehabilitation
  • A Pattern Recognition Approach to Diagnose Foot Plant Pathologies: From Segmentation to Classification
  • A Novel Way of Incorporating Large-Scale Knowledge into MRF Prior Model
  • Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
  • Protocols and Guidelines
  • Formalizing 'Living Guidelines' Using LASSIE: A Multi-step Information Extraction Method
  • The Role of Model Checking in Critiquing Based on Clinical Guidelines
  • Integrating Document-Based and Knowledge-Based Models for Clinical Guidelines Analysis
  • Document-Oriented Views of Guideline Knowledge Bases
  • Maintaining Formal Models of Living Guidelines Efficiently
  • A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data
  • Semantic Web Framework for Knowledge-Centric Clinical Decision Support Systems
  • Inference in the Promedas Medical Expert System
  • Computerised Guidelines Implementation: Obtaining Feedback for Revision of Guidelines, Clinical Data Model and Data Flow
  • Workflow Systems
  • Querying Clinical Workflows by Temporal Similarity
  • Testing Careflow Process Execution Conformance by Translating a Graphical Language to Computational Logic
  • Induction of Partial Orders to Predict Patient Evolutions in Medicine
  • Interacting Agents for the Risk Assessment of Allergies in Newborn Babies.