The usage of PMML in health care predictive analytics
Marcin Mazurek and
Łukasz Walkiewicz
Additional contact information
Marcin Mazurek: Wojskowa Akademia Techniczna w Warszawie
Łukasz Walkiewicz: Wojskowa Akademia Techniczna w Warszawie
Collegium of Economic Analysis Annals, 2015, issue 38, 411-424
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.
Keywords: Big Data; predictive analytics; PMML (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z38_29.pdf Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sgh:annals:i:38:y:2015:p:411-424
Access Statistics for this article
Collegium of Economic Analysis Annals is currently edited by Joanna Plebaniak, Beata Czarnacka-Chrobot
More articles in Collegium of Economic Analysis Annals from Warsaw School of Economics, Collegium of Economic Analysis Contact information at EDIRC.
Bibliographic data for series maintained by Michał Bernardelli (michal.bernardelli@sgh.waw.pl).