Author:
Bai Hua,Wang Bingxiang,Li Bin,Liu Zhangjun,Wen Zhenyu,Zhang Yang,Xiao Feng,Xu Xinfa,Huang Yongfeng
Funder
Jiangxi Provincial Key Research and Development Program
Key Program for the Jiangxi Provincial Hydraulic Science and Technology Projects
Science and Technology Project for the Education Department of Jiangxi Province
Key science and technology project of Jiangxi Province
Publisher
Springer Science and Business Media LLC
Reference67 articles.
1. Alfere S, Maghari AY (2018) Prediction of student’s performance using modified KNN classifiers. In: 1st International Conference on Engineering & Future Technology (ICEFT 2018). University of Palestine, Gaza, Palestine, pp 143-150. https://www.researchgate.net/publication/324941826
2. Ali AH, Alrubei MAT, Falah L, Hassan M, Al-Ja’afari M, Abdulwahed SH (2020) Diabetes classification based on KNN. IIUM Eng J 21(1):175–181. https://doi.org/10.31436/iiumej.v21i1.1206
3. Almutairi ES, Abbod MF (2023) Machine learning methods for Diabetes prevalence classification in Saudi Arabia. Modelling 4(1):37–55. https://doi.org/10.3390/modelling4010004
4. Assegie TA, Suresh T, Purushothaman R, Ganesan S, Kumar NK (2023) Early prediction of gestational diabetes with parameter-tuned K-Nearest Neighbor Classifier. J Robot Control 4(4):452–457. https://doi.org/10.18196/jrc.v4i4.18412
5. Awad M, Khanna R (2015) Support vector machines for classification. In: Efficient Learning Machines. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-5990-93