Compass: A hybrid method for clinical and biobank data mining

- Traditional hypotheses testing is not ideal for knowledge discovery in large data.
- We developed an approach for data mining intended as a hypothesis generating tool.
- Our approach is able to handle incomplete information.
- The model can handle both categorical type questionnaire data and continuous variables.
- The model generates variable groups acting as “hotspots” for significant associations.