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R-pakett OMOP CDM kujul andmete elukestusanalüüsiks

Authors: Aava, Greete Kelli;

R-pakett OMOP CDM kujul andmete elukestusanalüüsiks

Abstract

The Bachelor's thesis focuses on the creation of a survival analysis tool for health data in the form of the Observational Medical Outcomes Partnership (OMOP) common data model. The goal is to create an R package that includes database query generation, execution of database queries and visualization of results with a graphical user interface. The work is divided into a theoretical part, where the survival analysis methodology and a common data model are introduced, and a practical part, where the created R-package and its capabilities are described.

Countries
Estonia, Germany
Related Organizations
Keywords

000, bakalaureusetööd, elukestusanalüüs, R programming language, OMOP CDM, infotechnology, 510, survival analysis, informatics, Kaplan-Meieri kõver, Programmeerimiskeel R, R-package, infotehnoloogia, R-pakett, informaatika

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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Green