PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records
A predictive modeling platform that explores many predictive models in parallel. The platform constructs a dependency graph of tasks from a set of model specifications. The platform schedules the tasks and executes them in parallel using Map-Reduce. Performance is assessed using real EHR data sets with up to 300,000 patients. Significant performance speedups in model building and evaluation are achieved.
predictive modeling electronic health records scientific workflows parallel computing map reduce