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- W2091844795 abstract "A main challenge for clinical protocol evaluations is the lack of public real-world data sets due to the private nature of patient information. We studied the case of phase 1 clinical trials where the identity of participants is key in determining their eligibility to participate in a trial. Our objective is to use the experience from our study to present a list of parameters to help generate data sets that closely match their real-world counterparts. We also examine existing tools and address their limitations with a tool of our own. Through the development of our clinical trial protocol, we discovered a field selection that proved to be efficient to detect a participant's identity, which may be used by other researchers in their protocols." @default.
- W2091844795 created "2016-06-24" @default.
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- W2091844795 date "2014-05-01" @default.
- W2091844795 modified "2023-09-26" @default.
- W2091844795 title "Real-World Data Set Parameters and Synthesization for Matching Identity in Clinical Protocols" @default.
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- W2091844795 doi "https://doi.org/10.1109/cbms.2014.48" @default.
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