Diabetes Prediction Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Diabetes Prediction Using Machine Learning Techniques

Published:2022 Issue: Volume: Page:317-333
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Simanto Sourav,Mridha Krishna,Saha Runa,Limbu Milan,Ghosh Ankush,Shaw Rabindra Nath

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2980-9_26

Reference21 articles.

1. Kalyankar, G.D., Poojara, S.R., Dharwadkar, N.V.: Predictive analysis of diabetic patient data using machine learning and hadoop. In: International Conference On I- SMAC (2017). 978-1-5090-3243-3

2. VijiyaKumar, K., Lavanya, B., Nirmala, I., Sofia Caroline, S.: Random forest algorithm for the prediction of diabetes. In: Proceeding of International Conference on Systems Computation Automation and Networking (2019)

3. Aljumah, A.A., et al.: Application of data mining: diabetes health care in young and old patients. J. King Saud Univ. Comput. Inf. Sci. 25(2), 127–136 (2013)

4. Mridha, K., Ranpariya, A., Kumbhani, S., Ghosh, A., Shaw, R.N.: Plant disease detection using web application by neural network. In: 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), pp. 130–136 (2021)

5. Mridha, K., et al.: Plant disease detection using web application by neural network. In: 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), pp. 130–136 (2021). https://doi.org/10.1109/ICCCA52192.2021.9666354

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