Author:
Ashisha G. R.,Mary X. Anitha,Chowdhury Subrata,Karthik C.,Choudhury Tanupriya,Kotecha Ketan
Publisher
Springer Nature Switzerland
Reference18 articles.
1. World Health Organization, Global report on diabetes (2023)
2. World Health Organization, Global action plan for the prevention and control of non communicable diseases (2020)
3. Larabi-Marie-Sainte, S., Aburahmah, L., Almohaini, R., Saba, T.: Current techniques for diabetes prediction: Review and case study. App. Sci. 9(21), 4604 (2019)
4. Komi, M., Li, J., Zhai, Y., Xianguo, Z.:Application of data mining methods in diabetes prediction. In: 2nd International Conference on Image, Vision and Computing, ICIVC, pp. 1006–1010 (2017)
5. Ramanujam, E., Chandrakumar, T., Thivyadharsine, K.T, Varsha, D.: A multilingual decision support system for early detection of diabetes using machine learning approach: case study for rural Indian people. In: Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, pp. 17–21 (2017)