
Knowledge Representation for Health-Care
Beschreibung
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Inhalt
- Title
- Preface
- Organization
- Table of Contents
- Ontologies
- Ontology-Based Retrospective and Prospective Diagnosis and Medical Knowledge Personalization
- Introduction
- The Case Profile Ontology
- CPO-Based Retrospective Diagnosis (ORD)
- CPO-Based Prospective Diagnosis (OPD)
- Supporting Physicians in Prospective Diagnosis
- Fundamentals of CPO-Based Prospective Diagnosis
- Personalization of Medical Knowledge
- Personalization of the CPO Terminology
- Personalization of the CPO Properties
- Evaluation
- Wrong Diagnoses
- Comorbidities
- Missing Data
- Related Diseases and Prevention
- Conclusions
- References
- A Semantic Web Approach to Integrate Phenotype Descriptions and Clinical Data
- Introduction
- Materials
- Text-Based Knowledge Source
- Ontologies and Terminologies
- Patient Data
- Methods
- Results
- The Patient Phenotype Management Ontology
- Description Logic-Based Ontology Refinement
- SWRL-Based Adaptation
- Conclusions
- References
- Ontology-Based Knowledge Modeling to Provide Decision Support for Comorbid Diseases
- Introduction
- Solution Approach
- Knowledge Identification and Synthesis: Development of CHF and AF CP
- Knowledge Modeling: Developing the CP Ontology
- Knowledge Alignment: Developing a Co-morbid CP
- Knowledge Execution to Handle Comorbidities
- Evaluation
- Concluding Remarks
- References
- Patient Data, Records, and Guidelines
- Inducing Decision Trees from Medical Decision Processes
- Introduction
- Medical Decision Processes
- Medical Decision Tree
- Four Quality Measures of Medical Decision Trees
- Medical Correctness of a MDT with Respect to a Set of DPs
- Summary of MDT Basic Uses
- Induction of MDTs from Medical Decision Processes
- Testing the Induction of MDTs
- Conclusions and Future Work
- References
- Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning
- Introduction
- Background
- Mammographic Analysis
- Feature Extraction and Computer-Aided Detection
- Bayesian Network Principles
- Bayesian Networks for Knowledge Representation
- Structure Learning
- Structure Learning from Mammographic Data
- Data and Experimental Set-Up
- Results
- Discussion and Conclusions
- References
- Linguistic and Temporal Processing for Discovering Hospital Acquired Infection from Patient Records
- Introduction
- From Patient Records to HAI Risk Detection
- Related Work
- Linguistic Processing of Patient Records
- Syntactic Analysis
- Detection of Risk Indicators
- Filtering Risk Indicators
- Connecting Risk Indicators
- Temporal Processing of Patient Records
- The Importance of Temporal Information in Medical Processing
- Detecting Coherent Temporal Units in Patient Records
- Underlying Temporal Processor
- Limits of Our Temporal Processing
- HAI Risk Detection
- Evaluation
- Next Steps
- Conclusion
- References
- A Markov Analysis of Patients Developing Sepsis Using Clusters
- Introduction
- Analytic Techniques
- Methods
- Data Acquisition
- Model Formulation
- Results
- Further Implications
- Validation
- Future Work
- Conclusions
- References
- Towards the Interoperability of Computerised Guidelines and Electronic Health Records: An Experiment with openEHR Archetypes and a Chronic Heart Failure Guideline
- Introduction
- Guideline Representation Incorporating openEHR Archetypes
- Outline of the Approach
- Related Work
- The openEHR Framework
- Methodological Aspects
- Archetype Repository
- Archetype Methodology
- Results
- Conclusions and Future Work
- References
- Clinical Practice Guidelines
- Identifying Treatment Activities for Modelling Computer-Interpretable Clinical Practice Guidelines
- Introduction
- Background
- Methods
- Analysis of CPGs Regarding Activities
- Searching for Semantic Patterns for Activities
- Expanding the Pattern Set
- Generation of Rules
- Evaluation
- Conclusions and Further Work
- References
- Updating a Protocol-Based Decision-Support System's Knowledge Base: A Breast Cancer Case Study
- Introduction
- Related Work
- The Oncocure Project
- The Breast Cancer Treatment Protocols
- Modeling Process
- The Decision Support System
- The Ontology of Parameters
- The System Architecture
- Knowledge Base Maintenance and Updating
- First Model Version
- Customization of the Knowledge
- Progress of the Clinical Knowledge
- Lessons Learnt and Next Steps
- Conclusion
- References
- Toward Probabilistic Analysis of Guidelines
- Introduction
- Probabilistic Clinical Model
- Histories
- Probabilistic Histories
- ProbLine
- General Framework
- Patient Model
- Intervention Model
- Diabetes Mellitus Type 2
- Management of the Disease
- Probabilistic Model of Metformin Pharmokinetics
- Experiments
- Related Work
- Conclusions
- References
- Author Index
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