Strategies of Managing Repeated Measures: Using Synthetic Random Forest to Predict HIV Viral Suppression Status Among Hospitalized Persons with HIV
This study suggested the individual-specific prediction of the growth curve performed the best in terms of lowest error rate on an independent set of test data.
Source: AIDS and Behavior - Category: Infectious Diseases Source Type: research
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