Výsledky vyhledávání - "Lela McFarland"

C-A1-03: Considerations in the Design and Use of an Oracle-based Virtual Data Warehouse

Autor: Christine Bredfeldt, Lela McFarland

Background/Aims The amount of clinical data available for research is growing exponentially. As it grows, increasing the efficiency of both data storage and data access becomes critical. Relational database management systems (rDBMS) such as Oracle a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1711fd7aee1f70371be5e86179d3102
https://europepmc.org/articles/PMC3251372/

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PS2-59: It Takes a Village to Raise a VDW Data Set: Creating Partnerships to Improve Research Data

Autor: Lela McFarland, Christine Bredfeldt

Publikováno v: Clinical Medicine & Research. 10:197-198

Background Healthcare data is highly complex, and considerable effort is required to create rich data resources that are reliable, user-friendly and represent valid utilization. Challenges include identifying appropriate sources, interpreting the dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4734d3c3745157f752e803a79aeecf4d
https://doi.org/10.3121/cmr.2012.1100.ps2-59

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PS3-28: The Evolution of Tumor Standards and Its Effect on Observational Data

Autor: Lela McFarland, Jack Richter, Chu-Ling Yu

Publikováno v: Clinical Medicine & Research. 11:179-179

Background/Aims Quality information is essential to analyzing tumor data. Tumor data standards change over time, making it paramount to understand how the external standards affect the data. The changes, over time, can create artificial data quality

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5de88c4a4c2c4d1ea60fbc06a7c4a69
https://doi.org/10.3121/cmr.2013.1176.ps3-28

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PS2-54: Best Practices: Improving Quality and Reliability in Research Data Sets

Autor: Lela McFarland, Jack Richter, Christine Bredfeldt

Publikováno v: Clinical Medicine & Research. 11:157-157

Background/Aims Healthcare data is highly complex, and considerable effort is required to create rich data resources that are reliable, user-friendly and represent valid utilization. Challenges include identifying appropriate sources, interpreting th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5659c98a4e94f5889616be2296458db7
https://doi.org/10.3121/cmr.2013.1176.ps2-54

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PS2-54: The Flow of Tumor Data: A Technical Review of Tumor Data Production, Submission and Use

Autor: Chu-Ling Yu, Jack Richter, Lela McFarland

Publikováno v: Clinical Medicine & Research. 10:196-196

BackgroundThe Virtual Data Warehouse tumor registry enables important multi-site research in cancer prevention, treatment and outcomes, as well as health communications and quality. Ideally, data are collected from hospitals where the tumors are biop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab88d49a6dc353da7419318374624d6
https://doi.org/10.3121/cmr.2012.1100.ps2-54

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CB4-03: An Eye on the Future: A Review of Data Virtualization Techniques to Improve Research Analytics

Autor: Christine Bredfeldt, Lela McFarland, Jack Richter

Publikováno v: Clinical Medicine & Research. 10:166-166

Background/Aims: Integrating data across systems can be a daunting process. The traditional method of moving data to a common location, mapping fields with different formats and meanings, and performing data cleaning activities to ensure valid and re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9df3966054438998687bcdae4c0ec7e5
https://doi.org/10.3121/cmr.2012.1100.cb4-03

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