Health Information Science

Name: Health Information Science | First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings
Brand: Springer
Price: 53.49 EUR
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First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings

Jing He Xiaohui Liu Elizabeth Krupinski Guandong Xu(Herausgeber*in)

Springer (Verlag)

Erschienen am 2. April 2012

XIII, 187 Seiten

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978-3-642-29361-0 (ISBN)

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Inhalt

Title Page
Preface
Organization
Table of Contents
Keynotes Speech
Telehealth Strategies and Information Technology Transform Patient Care within the U.S. Department of Veterans Affairs
From Clinical Data to Knowledge Mining for Decision Making within Hospitals
Session 1
Industry Perspective
Challenges and Opportunities for Health Information Systems Research
E-health in Australia - A General Practitioner's Perspective
Medical Devices: Panel Discussion
Building Socioemotional Environments in Metaverses for Virtual Teams in Healthcare: A Conceptual Exploration
Introduction
Metaverses
Conceptual Model Development
Conclusion
References
Integrating Healthcare-Related Information Using the Entity-Attribute-Value Storage Model
Introduction
Information Integration in the Home Care Scenario
Related Work on Information Integration in Healthcare
Standards for Health Information Communication
The Digital Patient Care Record as the Main Healthcare Information Storage
The Entity-Attribute-Value Model
The Main Concept of the Entity-Attribute-Value Model
The Entity-Attribute-Value Concept as a Global Schema for Information Integration
Transformation Processes
Data Security and Access Rights for the EAV Storage Solution
Evaluation
Conclusions and Future Work
References
Median Polish with Power Transformations as an Alternative for the Analysis of Contingency Tables with Patient Data
Introduction
Median Polish
Power Transformations
Finding a Suitable Power Transformations for Median Polish
Examples
Conclusions
Program Code
References
An Integrated Approach for Healthcare Planning over Multi-dimensional Data Using Long-Term Prediction
Introduction
Healthcare Planning Challenges
Integrated Healthcare Data
Emerging Challenges
A Need for a Novel Long-Term Prediction Formulation
Limitations of Long-Term Prediction over Tabular Structures
Limitations of Long-Term Prediction over Temporal Structures
Problem Formulation
Tabular Formulation
Time Sequence Formulation
Problem Generalization
Evaluation
Solution Space
Adopted Learning Approach
Plugged Methodologies
Related Research
Conclusion
References
A Novel Automated Recognition System Based on Medical Machining CAD Models
Introduction
Related Work
AFR System Design Process
AFR Work Process and Data Flow Diagram
Knowledge-Based System in AFR
Three-Level of AFR Knowledge-Base
Conclusion
References
Session 2
Color Image Sharing Method Based on Lagrange's Interpolating Polynomial
Introduction
Theory of Image Sharing
Theory of Image Sharing and Recovery Based on Lagrange Interpolation Polynomial
Steps of Image Sharing and Recovery
Algorithm for Image Sharing
Image Segmentation and Splicing
Image Compression and Decompression
Quantify and Integrate
Encoding and Decoding
Decomposition and Integration
Hiding and Extract
Result of Experiment
Comparison of Non-destructive Image Sharing in Different Galois Domain
Suppose Large Prime Number Is 17
Suppose Large Prime Number Is 257
Suppose Large Prime Number Is 65287
Comparison of Three Cases
Conclusion
References
Automation in Cytomics: A Modern RDBMS Based Platform for Image Analysis and Management in High-Throughput Screening Experiments
Introduction
Workflow of the HTS Experiments
System Architecture of the HTS Analysis Platform
Database Design
Related Work
Conclusion
References
MRF Reconstruction of Retinal Images for the Optic Disc Segmentation
Introduction
Background
Our Method
Blood Vessels Segmentation
Optic Disc Location
Optic Disc Segmentation
Foreground and Background Seeds Initialization.
Graph for Optic Disc Segmentation.
Results
Conclusions
References
Normalized Cut Segmentation of Thyroid Tumor Image Based on Fractional Derivatives
Introduction
Principle of the Algorithm
Image Enhancement Based on Fractional Differential
Normalize Cut Based on Fractional Differential
Experimental Results and Analysis
Conclusions and Future Work
References
Cellular Neural Networks for Gold Immunochromatographic Strip Image Segmentation
Introduction
The Gold Immunochromatographic Strip Image and Problem Formulation
Process of Gold Immunochromatographic Strip Image
Canny Operator and Mathematical Morphology for GICS Reading Window Cutting
Cellular Neural Networks
Simulation Results and Discussion
Performance of CNN for Image Segmentation
Feature Calculation
Conclusions
References
Session 3
A New Classification Method for Human Gene Splice Site Prediction
Introduction
Related Work
The New Method for Splice Site Prediction
Feature Extraction
Support Vector Machine (SVM)
Experiments and Result Analysis
Data Set
Evaluation
Classification Results
Conclusions and Future Work
References
An Association Rule Analysis Framework for Complex Physiological and Genetic Data
Introduction
Related Works
Proposed Solution
Expected Results
Conclusion
References
Analysis of Nursery School Observations for Understanding Children's Behavior
Introduction
Core Technological Problems
System Setting
Tracking a Target Child in the Captured Data
Using the Template Analyzing a Target's Activities and Interactions with People
Activity Recognition
Interaction Analysis
Experimental Results
Activity Recognition
Interaction Analysis
Summarization of Children's Behavior
Conclusion
References
Session 4
Epidemic Outbreak and Spread Detection System Based on Twitter Data
Introduction
Overview of the EOSDS System
Methods of Epidemics Outbreak and Spread Detection System
Data Collection and Preprocessing
Static Map
Distribution Map and Two Step Coding
Filter Map
Visualization Results and Discussion
Related Work
Conclusions and Future Work
References
A Lightweight Approach for Extracting Disease-Symptom Relation with MetaMap toward Automated Generation of Disease Knowledge Base
Introduction
Method
Result
Discussion
Related Works
Conclusion
References
Novel Hybrid Feature Selection Algorithms for Diagnosing Erythemato-Squamous Diseases
Introduction
Hybrid Feature Selection Algorithms
Generalized F-Score
The Modified Classification Accuracy
Several Hybrid Feature Selection Algorithms
Experiments and Analysis
Conclusion
References
Author Index

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