Artificial Intelligence in Medicine 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005. Proceedings /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
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| Σειρά: | Lecture Notes in Computer Science,
3581 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
