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Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression
Research article (International Journal of Artificial Intelligence Tools, 2017) · cited 20× · AI/ML
Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression
Summary
Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression is a scholarly article[1].
Key Facts
Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-real-imbalanced-cardiovascular-data-using-feature-selection-and-sampling-methods-a-case-study-with-neu
MLA“Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-real-imbalanced-cardiovascular-data-using-feature-selection-and-sampling-methods-a-case-study-with-neu.
BibTeX@misc{4ortxyz_classification-of-real-imbalanced-cardiovascular-data-using-feature-selection-and-sampling-methods-a-case-study-with-neu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-real-imbalanced-cardiovascular-data-using-feature-selection-and-sampling-methods-a-case-study-with-neu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression — https://4ort.xyz/entity/classification-of-real-imbalanced-cardiovascular-data-using-feature-selection-and-sampling-methods-a-case-study-with-neu (retrieved 2026-05-24)
