참고문헌
- Chung, S. M., Park, J. C., Moon, J. S., and Lee, J. Y. (2018). Novel nomogram for screening the risk of developing diabetes in a Korean population, Diabetes Research and Clinical Practice, 142, 286-293. https://doi.org/10.1016/j.diabres.2018.05.036
- Cook, N. R. (2008). Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve, Clinical Chemistry, 54, 17-23.
- Heo, M. H. and Lee, Y. G. (2008). Data Mining Modeling and Example, Hannarae, Seoul.
- Iasonos, A., Schrag, D., Raj, G. V., and Panageas, K. S. (2008). How to build and interpret a nomogram for cancer prognosis, Journal of Clinical Oncology, 26, 1364-1370. https://doi.org/10.1200/JCO.2007.12.9791
- Kim, Y. J., Jeon, J. Y., Han, S. J., Kim, H. J., Lee, K. W., and Kim, D. J. (2015). Effect of socio-economic status on the prevalence of diabetes, Yonsei Medical Journal, 56, 641-647. https://doi.org/10.3349/ymj.2015.56.3.641
- Korean Diabetes Association (2017). Korean diabetes fact sheet in Korea 2016. Publish: diabetes fact sheet in Korea, Available from: http://www.diabetes.or.kr/pro/news/admin.php?category=A&code=admin&number=1428&mode=view
- Lee, J. W., Park, M. R., and Yu, H. N. (2005). Statistical Method for Bioscience Research, Freedom academy, Seoul.
- Lee, K. M., Kim, W. J., and Yun, S. J. (2009). A clinical nomogram construction method using genetic algorithm and naive Bayesian technique, Journal of Korean Institute of Intelligent Systems, 19, 796-801. https://doi.org/10.5391/JKIIS.2009.19.6.796
- Lee, S. Y., Park, H. S., Kim, S. M., et al. (2006). Cut-off points of waist circumference for defining abdominal obesity in the Korean population, The Korean Journal of Obesity, 15, 1-9.
- Mozina, M., Demsar, J., Kattan, M., and Zupan, B. (2004). Nomogram for Visualization of Naive Bayesian Classifier, Knowledge Discovery in Databases: PKDD 2004, 4, 337-348.
- Park, J. C. and Lee, J. Y. (2017). Risk factors for type 2 diabetes among Korean adults in 2014, Quantitative Bio-Science, 36, 15-21. https://doi.org/10.22283/qbs.2017.36.1.15
- Park, J. C. (2018). Proposal of nomogram using logistic and Bayesian technique for type 2 diabetes (Master's thesis), Yeungnam University, Gyeongsan.
- Park, J. C. and Lee, J. Y. (2018). How to build nomogram for type 2 diabetes using a naive Bayesian classifier technique, Journal of Applied Statistics, 45, 2999-3011. https://doi.org/10.1080/02664763.2018.1450366
- Statistics Korea (2014). Causes of death statistics 2014. Policy News, Available from: http://kostat.go.kr/portal/korea/kor nw/3/index.board?bmode=read&aSeq=348541
- Yang, D. (2014). Build prognostic nomograms for risk assessment using SAS. In Proceedings of SAS Global Forum 2013, Available from: http://support.sas.com/resources/papers/proceedings13/264-2013.pdf