New Method for Finding Rules in Incomplete Information Systems Controlled by Reducts in Flat Feet Treatment
Flat feet is very popular dysfunction seen in schoolchildren. The effect of different methods of flat feet treatment is not clear. The purpose of this study was using a new algorithm, based on data mining techniques, to predict the success of flat feet correction. The results show that the rules extracted in database are correlated with previous made statistical analysis and doctors suggestions in 82%. Clinicians should reduce the arch height by using physical therapy exercises. Our results show that the arch height correction is increased by age and place of living, and decreased as body mass increased.
KeywordsCole Index Data Mining Technique Decision Attribute Unknown Attribute Arch Height
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