Application of Ant-Miner algorithm to extract knowledge from star excursion balance test

Star Excursion balance test (SEBT) is a functional test to assess the dynamic balance and lower body stability. The knee condition plays a significant role on stability, and hence on the results. The SEBT results being high dimensional, gathering information about the knee condition from it becomes very difficult for doctors and physiotherapists. Knowledge extracted from the data will assist the doctors to analyze the SEBT results and diagnose the patients better. In this work, Ant colony based algorithm, Ant-Miner is used to extract knowledge from the data. Rules for classification of the data are obtained and the merit of Ant- Miner is highlighted by the simplicity of the rules.