医学中的人工智能/2005年国际会议录Artificial Intelligence in Medicine: 10th Conference on 下载 网盘 txt 地址 rtf kindle docx pdf

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.

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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