• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.11 no.1
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• pp.33-40
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• 2016

Objectives : To evaluate the foot indices using dynamic and static checking on healthy adult people. Methods : Foot indices analysis was performed for 46 students. Static checking practiced for Foot Pressure(FP) and Toe Pressure Difference(TPD) and dynamic checking was used for Vertical Axis Angle(VAA). Results : On gender, there was generally no statical significant difference, except RFP(Right Foot Pressure). The RFP of male was bigger than that of female. On age, in addition, there was similar tendency, only RFP had a positive correlation (r=0.35, p<0.05). Comparing foot indices on right and left, we found TPD and VAA had a tendency of pronation on left, but FP had a opposite tendency. On consistency of each foot index, discrepancy between TPD and VAA (39.47%) was lesser than combination of the others. Conclusions : According to foot indices among 46 healthy student, we found out that there is partially correlation between dynamic and static checking. We hope that the data we found will contribute to standardization of podiatry indices which provide medical guidance for cure of foot disease, supporting further podiatry research.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.2
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• pp.28-37
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• 2011

With growing concerns about healthy life recently, although the podiatry which deals with the whole area for diagnosis, treatment of foot and leg, and prevention has been widely interested, research in our country is not active. Also, because most of the previous researches in data analysis performed the quantitative approaches, the reasonable level of reliability for clinical application could not be guaranteed. Clinical data mining utilizes various data mining analysis methods for clinical data, which provides decision support for expert's diagnosis and treatment for the patients. Because the decision tree can provide good explanation and description for the analysis procedure and is easy to interpret the results, it is simple to apply for clinical problems. This study investigate rules of item of diagnosis in disease types for adapting decision tree after collecting diagnosed data patients who are 2620 feet of 1310(males:633, females:677) in shoes clinic (department of rehabilitation medicine, Chungnam National University Hospital). and we classified 15 foot diseases followed factor of 22 foot diseases, which investigated diagnosis of 64 rules. Also, we analyzed and compared correlation relationship of characteristic of disease and factor in types through made decision tree from 5 class types(infants, child, adolescent, adult, total). Investigated results can be used qualitative and useful knowledge for clinical expert`s, also can be used tool for taking effective and accurate diagnosis.