Studies on Development of New Method for the Prediction of Clinical Trial Results Using Compressive Sensing of Artificial Intelligence

We applied the compressive sensing in this analysis to an observational sample of clinical trials consisting of two groups. Each group needed time data from 25 patients, but in order to accommodate alpha and beta errors, data from 12 more

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