Artificial Intelligence in Medicine 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007. Proceedings /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
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| Σειρά: | Lecture Notes in Computer Science,
4594 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
