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Indexing the NoSQL Repository of Medical Records with Ontology Concepts

Author

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  • Marcin Mazurek

    (Wojskowa Akademia Techniczna w Warszawie, Wydział Cybernetyki)

Abstract

Managing a huge amount of data coming from heterogenous sources with different schemes is a challenge when it comes to efficient querying data. Different systems use different terms to describe the same concepts. Traditional approaches based on the unification of data schema on input lack efficiency in processing high volumes of incoming data. The paper describes the system based on MongoDb schema-free database for medical records. The batch process is indexing data with equivalent concepts from SNOMED ontology. Aa s result, users and data mining tools can query databases solely with ontology concepts, and query results are in a tabular format, friendly for analytical tools.

Suggested Citation

  • Marcin Mazurek, 2018. "Indexing the NoSQL Repository of Medical Records with Ontology Concepts," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 52, pages 71-82.
    • Handle: RePEc:sgh:annals:i:52:y:2018:p:71-82
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    References listed on IDEAS

    as
    1. Marcin Mazurek, 2014. "Architektura systemu wspomagania decyzji medycznych wykorzystująca technologię przetwarzania danych big data," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 35, pages 257-271.
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    Cited by:

    1. Wolfgang Orthuber, 2020. "Information Is Selection—A Review of Basics Shows Substantial Potential for Improvement of Digital Information Representation," IJERPH, MDPI, vol. 17(8), pages 1-16, April.

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