Publisher
Journal of Intelligent Systems: Theory and Applications, Harun TASKIN
Reference46 articles.
1. Ahmed, T. M., 2016. Developing a predicted model for diabetes type 2 treatment plans by using data mining. Journal of Theoretical and Applied Information Technology, 90(2), 181.
2. Al Helal, M., Chowdhury, A. I., Islam, A., Ahmed, E., Mahmud, M. S., & Hossain, S., 2019. An optimization approach to improve classification performance in cancer and diabetes prediction. In 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-5, IEEE.
3. Bi, S., Ding, X., Yu, S., Guo, B., Mu, L., Wang, B., 2021. A machine learning model for quantifying the effect of lifestyle interventions for patients with type 2 diabetes mellitus. In Journal of Physics, Conference Series, Vol. 1732, No. 1, p. 012006, IOP Publishing.
4. Bishop, C. M., 2006. Pattern Recognition and Machine Learning Springer-Verlag New York. Inc. Secaucus, NJ, USA.
5. Cichosz, S. L., Johansen, M. D., Hejlesen, O., 2016. Toward big data analytics: review of predictive models in management of diabetes and its complications. Journal of diabetes science and technology, 10(1), 27-34.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献