Publisher
Springer Nature Switzerland
Reference11 articles.
1. Rani, A.S., Jyothi, S.: Performance analysis of classification algorithms under different datasets. In: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1584–1589. IEEE (2016)
2. Bashir, S., Qamar, U., Khan, F.H., Javed, M.Y.: An efficient rule-based classification of Diabetes using ID3, C4. 5, & CART ensembles. In: 2014 12th International Conference on Frontiers of Information Technology, pp. 226–231. IEEE (2014)
3. Communications in Computer and Information Science;A Husain,2018
4. Fiarni, C., Sipayung, E.M., Maemunah, S.: Analysis and prediction of diabetes complication disease using data mining algorithm. Procedia Comput. Sci. 161, 449–457 (2019)
5. Kavakiotis, I., Tsave, O., Salifoglou, A., Maglaveras, N., Vlahavas, I., Chouvarda, I.: Machine learning and data mining methods in diabetes research. Comput. Struct. Biotechnol. J. 15, 104–116 (2017)
Cited by
1 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