A system for developing and implementing empirically derived algorithms to generate decision rules to predict subject noncompliance and fraud with research protocols in clinical trials allows for the identification of complex patterns of variables that detect or predict subject noncompliance and fraud with research protocol in the clinical trial. In the channel region corresponding to the opening, a highly concentrated impurity region having a higher impurity concentration of the first conductivity type than the channel corresponding to the gate electrode is formed. The users are clustered into groups using the language characteristic scores.