[1] Chen, J.h., Study on early warning Model of Ischemic Cardiovascular and Cerebrovascular Diseases in elderly Health Care population. 2010, The third military Medical University.

[2] Zhang, Y.l. and H. Luo, Multiple linear stepwise regression analysis of obesity factors in obese children. Practical preventive medicine, 2008. 15(005): p. 1457-1459.

[3] Li, G., Research on Status Evaluation of Oral Health Service and Prediction of Oral Health Human Power. 2004, Sichuan University.

[4] Gavhane, A., et al. Prediction of Heart Disease Using Machine Learning. in 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA). 2018.

[5] Patil, M., et al. A Proposed Model for Lifestyle Disease Prediction Using Support Vector Machine. in 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT). 2018.

[6] Kanchan, B.D. and M.M. Kishor. Study of machine learning algorithms for special disease prediction using principal of component analysis. in International Conference on Global Trends in Signal Processing. 2017.

[7] Senturk, Z.K. and R. Kara, Breast cancer diagnosis via data mining: performance analysis of seven different algorithms. Computer & Engineering, 2014. 4(1): p. 35-46.

[8] Aich, S., et al. A nonlinear decision tree based classification approach to predict the Parkinson’s disease using different feature sets of voice data. in 2018 20th International Conference on Advanced Communication Technology (ICACT). 2018.

[9] Wen, H., et al., Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children. Pattern Recognition, 2016: p. S0031320316302813.

[10] Suykens, J. Nonlinear modelling and support vector machines. in IEEE Instrumentation & Measurement Technology Conference. 2001.

[11] Suykens, J., Support Vector Machines: A Nonlinear Modelling and Control Perspective. European Journal of Control, 2001. 7(2–3): p. 311-327.

[12] Wolfe, R.A. and R.L. Strawderman, Logical and statistical fallacies in the use of Cox regression models. American Journal of Kidney Diseases, 1996. 27(1): p. 124-129.

[13] Breiman, L., Random forest. Machine Learning, 2001. 45: p. 5-32.

[14] Fang, F. A. N. G., Tan, W., & Liu, J. Z. (2005). Tuning of coordinated controllers for boiler-turbine units. Acta Automatica Sinica, 31(2), 291-296.

[15] Wang, N., Fang, F., & Feng, M. (2014, May). Multi-objective optimal analysis of comfort and energy management for intelligent buildings. In The 26th Chinese control and decision conference (2014 CCDC) (pp. 2783-2788). IEEE.