| Working Experience : |
Publications:
(1) Wang, K.-J., Makond, B., Liu, S.Y. (2011). Location and allocation decisions in a two-echelon supply chain with stochastic demand–A genetic-algorithm based solution, Expert Systems with Applications, 38(5), 6125-6131.
(2) Wang, K.-M., Makond, B., Wu, W.-L, Wang, K.J., Lin, Y.S. (2012). Optimal data mining method for predicting breast cancer survivability, International Journal of Innovative Management, Information & Production, 4(2), 28-33.
(3) Wang, K.-J., Makond, B., & Wang, K.-M. (2013). An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification data, BMC medical informatics and decision making, 13(124),1-14.
(4) Wang, K.-J., Makond, B., Chen, K.-H., & Wang, K.-M. (2014). A hybrid combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients, Applied Soft Computing Journal, 20, 15-24.
(5) Wang, K.-J., Makond, B. & Wang, K.-M. (2014). Modeling and predicting the occurrence of brain metastasis from lung cancer by Bayesian network: A case study of Taiwan, Comput. Biol. Med., 47, 147-160.
(6) Makond, B., Wang, K.-J., & Wang, K.-M. (2015). Probabilistic modeling of short survivability in patients with brain metastasis from lung cancer, Computer Methods and Programs in Biomedicine, 119(3):142-62
(7) Makond, B. (2018). A comparison of statistical techniques in predicting violent outcomes in Thailand’s deep South. Kasem Bundit Journal, 19, 284-300.
(8) Makond, B. & Eso, M. (2019). Predictive Models for Classifying the Outcomes of Violence: Case Study for Thailand’s Deep South, Advances in Decision Sciences, 23(3), 1-36.
(9) Wang, K-M, Wang, K-J, & Makond, B. (2020). Survivability modelling using Bayesian network for patients with first and secondary primary cancers, Computer Methods and Programs in Biomedicine, 196, 1-10.
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