Prediction and Comparison of Diabetes with Logistic Regression, Naïve Bayes, Random Forest, and Support Vector Machine
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7455-7_20
Reference12 articles.
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2. Kharroubi AT, Darwish HM (2015) Diabetes mellitus: the epidemic of the century. World J Diabetes 6(6):850–867. https://doi.org/10.4239/wjd.v6.i6.850
3. Butt UM, Letchmunan S, Ali M, Hassan FH, Baqir A, Sherazi HHR (2021) Machine learning based diabetes classification and prediction for healthcare applications. J Health Eng. https://doi.org/10.1155/2021/9930985
4. Rani KJ (2020) Diabetes prediction using machine learning. International J Sci Res Comp Sci Eng Info Tech, 294–305. https://doi.org/10.32628/CSEIT206463
5. Thyde DN, Mohebbi A, Bengtsson H, Jensen ML, Mørup M (2020) Machine learning-based adherence detection of type 2 diabetes patients on once-daily basal insulin injections. J Diabetes Sci Technol 15:98–108. https://doi.org/10.1177/1932296820912411
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