DOI QR코드

DOI QR Code

Diagnosis of Spondylopathy Using Mahalanobis Taguchi System

Mahalanobis Taguchi System을 이용한 척추질환 환자의 진단에 관한 연구

  • Hong, Jung Eui (Department of Industrial and Management Engineering, Korea National University of Transportation)
  • 홍정의 (한국교통대학교 공과대학 산업경영공학과)
  • Received : 2012.05.24
  • Accepted : 2012.10.28
  • Published : 2012.12.31

Abstract

The Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is diagnosis of the spondylolisthesis from biomedical data that is derived from the shape and orientation of the pelvis and lumbar spine. The data set has six attributes including pelvic incidence, pelvic tilt, lumbar lordosis angle, sacral slope, pelvic radius and grade of spondylolisthesis and two class including normal and abnormal. From University of California at Irvine machine learning repository, 100 normal and 150 spondylolisthesis patient's data were used for this study. Mahalanobis Taguchi System (MTS) application process and the diagnosis results were described in this paper.

Keywords

References

  1. Jeong, D.-U., Yeo K.-C., Yoon, I.-A., Kang, H.-S., and Moon, S.-I., A clinical Study on Correlation between Cervical, Lumbar Lordosis and Low back Pain. The Journal of Korean Acupunctual and Moxibustion Society, 2009, Vol. 26, No. 2, p 15-23.
  2. Rocha Neto, A.R., Barreto, G.A., and Cardoso, J.S., Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. Proceedings of the 5th Conference on Pattern Recognition and Image Analysis, Gran Canaria, Spain. Lecture Note on Computer Science, Vol. 6669, p 588-595.
  3. Taguchi, G. and Jugulum, R., The Mahalanobis-Taguchi Strategy : A Pattern Technology System, John Wiley and Sons, Inc., 2002.
  4. Taguchi, G. and Jugulum, R., New Trends in Multivariate Diagnosis. Indian Journal of Statistics, 2000, Vol. 62, Series B, No. 2, p 233-248.
  5. Cudney, E.A., Hong, J.-E., Rajesh Jugulum, Kioumars Paryani, Kenneth M. Ragsdell, and Genishi Taguchi, An Evaluation of Mahalanobis Taguchi System and Neural Network for Multivariate Pattern Recognition. Journal of Industrial and System Engineering, 2007, Vol. 1, No. 2, p 139-150.
  6. Kwon, H.J., Kim, M.J., and Choi, Y.D., The Influence of Lumbosacral Angle, Pelvic level and Symptoms by Standing Lumbar Traction on HIVD Patients. The Journal of Korean Academy of Orthopaedic manual Physical Therphy, 1999, Vol. 5, No. 1, p 5-16.
  7. Hong, J.E., Diagnosis of Parkinson's Disease by Voice Disorder Using Mahalanobis Taguchi System. J. of Society of Korean Industrial and System Engr., 2009, Vol. 32, No. 4, p 215-222.
  8. Hong, J.E. and Cudney, E.A., Taguchi, G., Jugulum, R., Paryani, K., and Ragsdell K., A Comparison study of Mahalanobis Taguchi System and nueral network for multivariate pattern recognition. 2005 ASME IMECE Proceedings, Orlando FL.
  9. UCI Machine Learning Repository www.ics.uci.edu/-mlearn/.

Cited by

  1. S-MTS를 이용한 강판의 표면 결함 진단 vol.23, pp.1, 2017, https://doi.org/10.13088/jiis.2017.23.1.047