Role of association rules in medical examination records of Gestational Diabetes Mellitus

The paper explains an approach that tries to predict the gestational diabetes of the patient using association rule mining. We address the basic risk factors in Gestational Diabetes Mellitus of pregnant ladies leading to abnormality in delivery and post and pre-delivery conditions. The existing approaches deal with social economy conditions of the GEM patients. Medical examinations records can be handled easily through graph theoretical and association rule mining. A new protocol is subjected for distinguish diabetes rules.