Logistic Regression Versus Neural Networks: The Best Accuracy in Prediction of Diabetes Disease

Research article (Asian Journal of Computer Science and Technology, 2017) · cited 15× · AI/ML
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Logistic Regression Versus Neural Networks: The Best Accuracy in Prediction of Diabetes Disease

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Logistic Regression Versus Neural Networks: The Best Accuracy in Prediction of Diabetes Disease is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Logistic Regression Versus Neural Networks: The Best Accuracy in Prediction of Diabetes Disease. Retrieved May 24, 2026, from https://4ort.xyz/entity/logistic-regression-versus-neural-networks-the-best-accuracy-in-prediction-of-diabetes-disease
MLA “Logistic Regression Versus Neural Networks: The Best Accuracy in Prediction of Diabetes Disease.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/logistic-regression-versus-neural-networks-the-best-accuracy-in-prediction-of-diabetes-disease.
BibTeX @misc{4ortxyz_logistic-regression-versus-neural-networks-the-best-accuracy-in-prediction-of-diabetes-disease_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Logistic Regression Versus Neural Networks: The Best Accuracy in Prediction of Diabetes Disease}}, year = {2026}, url = {https://4ort.xyz/entity/logistic-regression-versus-neural-networks-the-best-accuracy-in-prediction-of-diabetes-disease}, note = {Accessed: 2026-05-24}}
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