Diabetes Detection Based on Health Conditions Using Advanced Learning Algorithm
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61471-2_38
Reference15 articles.
1. Sharma, S.K., et al.: A diabetes monitoring system and health-medical service composition model in cloud environment. IEEE Access 11, 32804–32819 (2023). https://doi.org/10.1109/ACCESS.2023.3258549
2. Hasan, M.K., Alam, M.A., Das, D., Hossain, E., Hasan, M.: Diabetes prediction using ensembling of different machine learning classifiers. IEEE Access 8, 76516–76531 (2020)
3. Ogurtsova, K., et al.: IDF diabetes atlas: global estimates of undiagnosed diabetes in adults for 2021. Diabetes Res. Clin. Pract. 183, 109118 (2022)
4. Lekha, S., Suchetha, M.: Real-time non-invasive detection and classification of diabetes using modified convolution neural network. IEEE J. Biomed. Health Informat. 22(5), 1630–1636 (2018)
5. AISC;A Choudhury,2019
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