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Researchers need to evaluate newly thought clinical protocols for validity and performance. A main challenge for such evaluations is the lack of real-world data sets due to the private nature of patient information. Researchers resort to synthetic data in order to simulate the real-world counterpart. We present a tool for researchers to increase their confidence in the evaluations they perform by...
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...
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