Publisher
Springer International Publishing
Reference26 articles.
1. Rahman, M., Islam, D., Mukti, R.J., Saha, I.: A deep learning approach based on convolutional LSTM for detecting diabetes. Comput. Biol. Chem. 88, 107329 (2020)
2. Jain, V., Raheja, S.: Improving the prediction rate of diabetes using fuzzy expert system. IJ Inf. Technol. Comput. Sci. 10(7), 84–91 (2015)
3. Beloufa, F., Chikh, M.A.: Design of fuzzy classifier for diabetes disease using modified artificial bee colony algorithm. Comput. Methods Programs Biomed. 1(112), 92–103 (2013)
4. Lukmanto, R.B., Suharito, Nugroho, A., Akbar, H.: Early detection of diabetes mellitus using feature selection and fuzzy support vector machine. Procedia Comput. Sci. 157, 46–54 (2019)
5. Hilali-Jaghdam, I., Ishak, A.B., Abdel-Khalek, S., Jamal, A.: Quantum and classical genetic algorithms for multilevel segmentation of medical images: a comparative study. Comput. Commun. 162, 83–93 (2020)
Cited by
2 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