医学中的人工智能/2005年国际会议录Artificial Intelligence in Medicine: 10th Conference on

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作   者:Silvia

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ISBN:9783540278313

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简介


This book constitutes the refereed proceedings of the 10th Conference on Artificial Intelligence in Medicine in Europe, AIME 2005, held in Aberdeen, UK in July 2005. The 35 revised full papers and 34 revised short papers presented together with 2 invited contributions were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on temporal representation and reasoning, decision support systems, clinical guidelines and protocols, ontology and terminology, case-based reasoning, signal interpretation, visual mining, computer vision and imaging, knowledge management, machine learning, knowledge discovery, and data mining.

目录


Invited Talks
 Ontology Mapping: A WayOut 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
 Osk Kristmundsddttir
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 Medical 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
……
Ontology and Terminology
Case-Based Reasoning, SIgnal Interpretation, Visual Mining
Computer Vision and imaging
Knowledge management
Machine Learning, Knowledge Discovery and Data Mining
Author Index

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