The objective of the KBSI initiative is to develop the framework that would allow users to perform a knowledge exchange with the medical database. The aim is to leverage data-mining techniques to guide users in discovering useful knowledge patterns from the medical database. The database stores historical patient information in a patented, multi-dimensional representation form.

Approach

KBSI’s approach is to leverage data mining techniques in extracting useful knowledge from the historical data. The initial solution involves the use of proximity analysis methods (for example, multi-dimensional clustering) to match users with similar historical patients and to provide these users with useful statistics (experiential information) of these historical patients. The resulting clusters would help form on-line communities that can share a wealth of information regarding their various medical and treatment experiences.

The approach would ultimately help in providing valuable information to medical customers seeking to make more informed treatment decisions.