Mining for Knowledge to Build Decision Support System for Treatment of Plano-Valgus

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Abstract:

Most children with plano-valgus have flexible arches. There is a lot of controversy regarding the results of treatment with foot orthosis, corrective exercises, etc. We hypothesized that data mining and action rule discovery help to understand the relationships among the treatment factors and measurements in order to better understand plano-valgus treatment and gain new knowledge for predicting treatment success. Sixty eligible plano-valgus children and 50 age-matched control children were recruited for this study. The authors developed a flexible temporal feature retrieval system based on grouping the patients of similar visiting frequencies with connection to an action-rules engine, which consists of four modules: a data grouping device, a temporal feature extraction engine, a decision tree classification device, and an action rules generation device.

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Solid State Phenomena (Volume 199)

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49-54

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March 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] D.J. Morton, Structural factors in static disorders of the foot, Amer. J. Surg. 19 (1930) 315-326.

Google Scholar

[2] C.J. Lin, K.A. Lai, T.S. Kuan, Y.L. Chou, Correlating factors and clinical significance of flexible flatfoot in preschool children, J Pediatr Orthop. 21 (2001) 378-382.

DOI: 10.1097/01241398-200105000-00022

Google Scholar

[3] W.W. Lovell, C.T. Price, P.L. Meehan, The Foot, Pediatric Orthopaedics, 2nd edition, Philadelphia, 1986, p.895–977.

Google Scholar

[4] J.B. Volpon, Footprint analysis during the growth period, J Pediatr Orthop 14 (1994) 83–85.

Google Scholar

[5] J.V. Basmajian, C.J. Deluca, Muscle Alives. Williams & Wilkins, Baltimore 1985, p.310–353.

Google Scholar

[6] K. Penneau, L.D. Lutter, R.B. Winter, Pes planus radiographic changes with foot orthoses and shoes, Foot Ankle 2 (1982) 299–303.

DOI: 10.1177/107110078200200508

Google Scholar

[7] D.R. Wenger, S. Diego, et al., Corrective shoes and inserts as treatment for flexible flatfoot in infants and children, J Bone Joint Surg. 71A (1989) 800–810.

DOI: 10.2106/00004623-198971060-00002

Google Scholar

[8] J. Pauk J., V. Ezerskiy, The effect of foot orthotics on arch height: prediction of arch height correction in flat-foot children, Biocybernetics and Biomedical Engineering 31 (2011) 51-62.

DOI: 10.1016/s0208-5216(11)70005-5

Google Scholar

[9] J. Pauk, Modelling and prognosis flat feet parameters in children, Monograph, Bialystok University of Technology 207, (2011).

Google Scholar

[10] M. Kolasa, R. Dlugosz, J. Pauk, A comparative study of different neighborhood topologies in WTM Kohonen self-organizing maps, Solid State Phenomena 147-149 (2009) 564-569.

DOI: 10.4028/www.scientific.net/ssp.147-149.564

Google Scholar

[11] T.J. Cole, M.C. Belizzi, K.M. Flegal, W.H. Dietz, Establishing a standard definition for child overweight and obesity worldwide, Br Med J. 320 (2000) 1–6.

Google Scholar

[12] R.G. Nielsen, M.S. Rathleff, O.H. Simonsen, H. Landberg, Determination of normal values for navicular drop during walking: a new model correcting for foot length and gender, Journal of Foot and Ankle Research (2009) 2-12.

DOI: 10.1186/1757-1146-2-12

Google Scholar

[13] K.C. Kowalski, P.R.E. Crocker, R.A. Faulkner, Validation of the Physical Activity Questionnaire for Older Children, Pediatric Exercise Science 9 (1997) 74-186.

DOI: 10.1123/pes.9.2.174

Google Scholar

[14] J.R. Landis, G.G. Koch, The measurement of observer agreement for categorical data, Biometrics 33 ( 1977) 159—174.

DOI: 10.2307/2529310

Google Scholar

[15] Z.W. Ras, A. Wieczorkowska, Action-Rules: How to increase profit of a company, in Principles of Data Mining and Knowledge Discovery, Proceedings of PKDD 2000, France, LNAI, 1910, Springer (2000) 587-592.

DOI: 10.1007/3-540-45372-5_70

Google Scholar

[16] Z.W. Ras and A. Dardzinska, Action Rules Discovery Based on Tree Classifiers and Meta-actions, in Proceedings of the 18th International Symposium on Foundations of Intelligent Systems, Czech Republic (2009) 66-75.

DOI: 10.1007/978-3-642-04125-9_10

Google Scholar