Development of a “meta-model” to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support

Like most real-world data, electronic health record (EHR)–derived data from oncology patients typically exhibits wide interpatient variability in terms of available data elements. This interpatient variability leads to missing data and can present critical challenges in developing and implementing predictive models to underlie clinical decision support for patient-specific oncology care.