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Title:          Examining database persistence of ISO/EN 13606 standardized electronic health record extracts: relational vs. NoSQL approaches
Subject:        BMC Medical Informatics and Decision Making, 2017, doi:10.1186/s12911-017-0515-4
Keywords:       Relational database,NoSQL database,Normalized medical information,ISO/EN 13606 standard,Electronic health record extract,Algorithmic complexity,Primary use,Clinical practice,Secondary research use,Document-based task
Author:         Ricardo Sánchez-de-Madariaga
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      Title: Abstract
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        Title: Background
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        Title: Methods
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       Item: 
        Title: Results
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        Title: Conclusion
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      Title: Background
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       Item: 
        Title: Relational approach
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        Title: Relational improvements
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        Title: Non-relational NoSQL approach
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        Title: NoSQL current state-of-art
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        Title: Objective
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      Title: Methods
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        Title: Building a relational MySQL database system to store and query normalized EHR extracts
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        Title: Building a NoSQL MongoDB database system to store and query normalized EHR extracts
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       Item: 
        Title: Building a native XML NoSQL eXist database system to store and query normalized EHR extracts
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       Item: 
        Title: The openEHR node + path EHR extracts database system
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        Title: The archetype relational mapping (ARM) persistence solution
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        Title: Other relational database improvements
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        Title: Queries applied to the relational and NoSQL DBMSs
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        Title: Concurrency experiments
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        Title: Indexing policies
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        Title: Results by other improved relational systems
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        Title: Results of the concurrency experiments
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        Title: Table-like vs. document-like results
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        Title: Relational vs. NoSQL database systems
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      Title: Additional files
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      Title: References
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    Title: Examining database persistence of ISO/EN 13606 standardized electronic health record extracts: relational vs. NoSQL approaches
    Author: Ricardo Sánchez-de-Madariaga
    Subject: BMC Medical Informatics and Decision Making, 2017, doi:10.1186/s12911-017-0515-4
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