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Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques
Research article (Waves in Random and Complex Media, 2020) · cited 35× · AI/ML
Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques
Summary
Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques is a scholarly article[1].
Key Facts
Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques's instance of is recorded as scholarly article[2].
References
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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). Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-congestive-heart-failure-by-extracting-multimodal-features-with-synthetic-minority-oversampling-technique-smot
MLA“Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-congestive-heart-failure-by-extracting-multimodal-features-with-synthetic-minority-oversampling-technique-smot.
BibTeX@misc{4ortxyz_detecting-congestive-heart-failure-by-extracting-multimodal-features-with-synthetic-minority-oversampling-technique-smot_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-congestive-heart-failure-by-extracting-multimodal-features-with-synthetic-minority-oversampling-technique-smot}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques — https://4ort.xyz/entity/detecting-congestive-heart-failure-by-extracting-multimodal-features-with-synthetic-minority-oversampling-technique-smot (retrieved 2026-05-24)
