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A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data
Research article (International Journal of Advanced Computer Science and Applications, 2023) · cited 29× · AI/ML
A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data
Summary
A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data is a scholarly article[1].
Key Facts
A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-new-approach-of-hybrid-sampling-smote-and-enn-to-the-accuracy-of-machine-learning-methods-on-unbalanced-diabetes-disea
MLA“A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-new-approach-of-hybrid-sampling-smote-and-enn-to-the-accuracy-of-machine-learning-methods-on-unbalanced-diabetes-disea.
BibTeX@misc{4ortxyz_a-new-approach-of-hybrid-sampling-smote-and-enn-to-the-accuracy-of-machine-learning-methods-on-unbalanced-diabetes-disea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data}}, year = {2026}, url = {https://4ort.xyz/entity/a-new-approach-of-hybrid-sampling-smote-and-enn-to-the-accuracy-of-machine-learning-methods-on-unbalanced-diabetes-disea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A New Approach of Hybrid Sampling SMOTE and ENN to the Accuracy of Machine Learning Methods on Unbalanced Diabetes Disease Data — https://4ort.xyz/entity/a-new-approach-of-hybrid-sampling-smote-and-enn-to-the-accuracy-of-machine-learning-methods-on-unbalanced-diabetes-disea (retrieved 2026-05-24)
