A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Reverse Engineered Virtual Patient Populations as Surrogates for Real Patient-Level Data
[article]
2018
bioRxiv
pre-print
Dissemination of clinical data for research has limitations. The most coveted data is richly descriptive at the individual level, but acquiring such granularity comes with significant cost, effort, or time. De-identification of individual records is not foolproof, with potential for privacy breaches, especially for "real-world" data derived from electronic health records. Also, the open data movement has progressed slowly for clinical trials, partly due to concerns about data ownership. Here,
doi:10.1101/308403
fatcat:2u4ysne7n5aj5cte7civsnntwm