Predictive Modeling clinical trials at UCLA
1 in progress, 0 open to eligible people
Refining Risk Prediction Models for Older Adults Using Electronic Health Records
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This study aims to improve how lab results are communicated to older adults by refining a predictive model that uses electronic health record (EHR) data. The model was originally developed to estimate the risk of chronic kidney disease (CKD) progression. Researchers will use existing health data to test and improve the accuracy of the model and explore how it might be adapted for use in other health conditions. The study does not involve direct interaction with patients and is conducted entirely using de-identified data in a secure environment.
Los Angeles, California
Our lead scientists for Predictive Modeling research studies include Catherine A. Sarkisian.
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