4 Standard data mining runs

To assemble data mining counts and statistics that can be compared over time, VAERS Signal Management includes 23 data mining runs. All runs are refreshed as part of preparing a monthly Signal Management update.

All of the standard data mining runs for Signal Management are MGPS runs that are limited to the set of monitored products. These runs are assigned to the project referenced in the signal configuration. The default name of this project is VAERS Signal Mgmt.

The following types of runs are included:

• Data mining runs producing disproportionality scores
  Oracle Empirica Signal performs the following data mining runs to calculate disproportionality scores for product-event terms for various subpopulations.
• Data mining runs for new or changed cases
  The cumulative subset data mining runs identify new and significantly changed reports relative to prior time periods.
• Data mining runs for SOC and HLT scores
  Oracle Empirica Signal performs the following data mining runs to compute disproportionality scores at the SOC and HLT levels of the MedDRA event hierarchy.
• Data mining run for viewing interactions
  Oracle Empirica Signal executes a three-dimensional MGPS data mining run to investigate product-product-event interactions between reports that may merit further investigation. Oracle Empirica Signal executes these runs on the data configuration for 3D runs from the signal configuration, and names the runs in accordance with that data configuration.