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Metadata-driven Software Systems in Biomedicine - Designing Systems that can adapt to Changing Knowledge
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Metadata-driven Software Systems in Biomedicine - Designing Systems that can adapt to Changing Knowledge
von: Prakash M. Nadkarni
Springer-Verlag, 2011
ISBN: 9780857295101
411 Seiten, Download: 6669 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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Inhaltsverzeichnis

  Metadata-driven Software Systems in Biomedicine 4  
  Copyright Page 5  
  Preface 6  
  Acknowledgments 10  
  Contents 12  
  1: What Is Metadata? 22  
  2: Data Types in the Medical Record 38  
  3: Metadata and the Use of XML 53  
  4: Representing Structured Clinical Data 74  
  5: Building the User Interface for Structured Clinical Data Capture 93  
  6: Medical Decision Support Systems: General Considerations 127  
  7: Challenges in Electronic Decision Support Implementation 141  
  8: Infrastructure for Complex Clinical Decision Support: Rule Engines 161  
  9: Decision Support Infrastructure: Workflows and Service-Oriented Architectures 174  
  10: Complex Decision Support in Practice 193  
  11: Extending the Entity-Attribute-Value Model 209  
  12: Descriptive Metadata: An Introduction to Terminologies 242  
  13: Descriptive Metadata: Implementing Large-Scale Biomedical Ontologies 264  
  14: Clinical Study Data Management Systems 288  
  15: Data Retrieval for Heterogeneous Data Models 308  
  16: Metadata for Data Warehousing 374  
  17: Biomedical Metadata Standards 388  
  Index 402  


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