The work proposes the design of transformation algorithms which consists in translating the legacy relational database (RDB) into a unique medical record ...
The work proposes the design of transformation algorithms which consists in translating the legacy relational database (RDB) into a unique medical record ...
The work proposes the design of transformation algorithms which consists in translating the legacy relational database (RDB) into a unique medical record ...
Bibliographic details on Design of a Medical Database Transformation Algorithm.
We present a case study of a clinical data warehouse architecture that has been implemented at Columbia University Medical Center to focus on the appropriate ...
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Methods for automated concept mapping between medical databases
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Automated mapping algorithms can identify equivalent concepts in disparate databases. The algorithms take advantage of the conceptual “context” embodied within ...
Jun 24, 2019 · The GDM offers researchers a simpler process for transforming data, clear data provenance, and a path for users to transform their data into other data models.
Oct 25, 2021 · Clinical data transformation is a key process to enable the analysis of clinical trial data. Transformed data powers both single and cross-study analyses.
Mar 5, 2024 · Plan for data transformation using ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes. Finalize the design of the data ...
In this article, we propose a data preparation framework for transforming raw transactional clinical data to well-formed data sets so that data mining can be ...