SM-RuleMiner: Spider Monkey Based Rule Miner using Novel Fitness Function for Diabetes Classification

Diabetes is a major health challenge around the world. Existing rule-based classification systems have been widely used for diabetes diagnosis, even though they must overcome the challenge of producing a comprehensive optimal ruleset while balancing accuracy, sensitivity and specificity values. To resolve this drawback, in this paper, a Spider Monkey Optimization-based rule miner (SM-RuleMiner) has been proposed for diabetes classification. A novel fitness function has also been incorporated into SM-RuleMiner to generate a comprehensive optimal ruleset while balancing accuracy, sensitivity and specificity.

Source: Computers in Biology and Medicine - December 18, 2016 Category: Bioinformatics Authors: Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili Source Type: research