Detecting possibility of complications of diseases using rough set based granulation

One of the most important problems with medical expert systems is that they cannot make a differential diagnosis with complicated cases. This paper reviews reasoning about complications from the viewpoint of information granulation and proposes an approach to extracting rules for diagnosis of complications from clinical datasets. The illustrative example show that rough set based granular computing gives a nice framework to detect the complications.