IDEAS home Printed from https://ideas.repec.org/a/sgh/annals/i38y2015p411-424.html
   My bibliography  Save this article

The usage of PMML in health care predictive analytics

Author

Listed:
  • Marcin Mazurek

    (Wojskowa Akademia Techniczna w Warszawie)

  • Łukasz Walkiewicz

    (Wojskowa Akademia Techniczna w Warszawie)

Abstract

The Big Data technology makes it possible to process huge volumes of data which can be utilized to build better predictive models in health care. There are some tools and libraries that support data scientist in Big Data analytics, but they are poorly standardized. As a consequence, any concept of architecture should be proved by means of prototyping. The paper presents the implementation of the Big Data analytical environment, where operationalization of the predictive models is achieved by utilizing the PMML standard. Key elements of the PMML specification are presented along with the open-source components upon which the system is built.

Suggested Citation

  • Marcin Mazurek & Łukasz Walkiewicz, 2015. "The usage of PMML in health care predictive analytics," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 38, pages 411-424.
    • Handle: RePEc:sgh:annals:i:38:y:2015:p:411-424
    as

    Download full text from publisher

    File URL: http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z38_29.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sgh:annals:i:38:y:2015:p:411-424. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michał Bernardelli (email available below). General contact details of provider: https://edirc.repec.org/data/sgwawpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.