Enabling Agile Clinical and Translational Data Warehousing: Platform Development and Evaluation

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DC Field	Value	Language
dc.contributor.author	Mahapatra, Tanmaya	-
dc.date.accessioned	2024-05-09T03:54:15Z	-
dc.date.available	2024-05-09T03:54:15Z	-
dc.date.issued	2020-07	-
dc.identifier.uri	https://pubmed.ncbi.nlm.nih.gov/32706673/	-
dc.identifier.uri	http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/14781	-
dc.description.abstract	Modern data-driven medical research provides new insights into the development and course of diseases and enables novel methods of clinical decision support. Clinical and translational data warehouses, such as Informatics for Integrating Biology and the Bedside (i2b2) and tranSMART, are important infrastructure components that provide users with unified access to the large heterogeneous data sets needed to realize this and support use cases such as cohort selection, hypothesis generation, and ad hoc data analysis.	en_US
dc.language.iso	en	en_US
dc.publisher	Helmut Spengler	en_US
dc.subject	Computer Science	en_US
dc.subject	Docker	en_US
dc.subject	Cohort Selection	en_US
dc.subject	Data Warehouse	en_US
dc.subject	Extract-Transform-Load	en_US
dc.subject	Hypothesis Generation	en_US
dc.title	Enabling Agile Clinical and Translational Data Warehousing: Platform Development and Evaluation	en_US
dc.type	Article	en_US
Appears in Collections:	Department of Computer Science and Information Systems

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