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Enhancing Predictive Accuracy in Cardiovascular Disease Diagnosis: A Hybrid Approach Using RFAP Feature Selection and Random Forest Modeling
Research article (2024 4th International Conference on Soft Computing for Security Applications (ICSCSA), 2024) · cited 18× · AI/ML
Enhancing Predictive Accuracy in Cardiovascular Disease Diagnosis: A Hybrid Approach Using RFAP Feature Selection and Random Forest Modeling
Summary
Enhancing Predictive Accuracy in Cardiovascular Disease Diagnosis: A Hybrid Approach Using RFAP Feature Selection and Random Forest Modeling is a scholarly article[1].
Key Facts
Enhancing Predictive Accuracy in Cardiovascular Disease Diagnosis: A Hybrid Approach Using RFAP Feature Selection and Random Forest Modeling'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). Enhancing Predictive Accuracy in Cardiovascular Disease Diagnosis: A Hybrid Approach Using RFAP Feature Selection and Random Forest Modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-predictive-accuracy-in-cardiovascular-disease-diagnosis-a-hybrid-approach-using-rfap-feature-selection-and-ran
MLA“Enhancing Predictive Accuracy in Cardiovascular Disease Diagnosis: A Hybrid Approach Using RFAP Feature Selection and Random Forest Modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-predictive-accuracy-in-cardiovascular-disease-diagnosis-a-hybrid-approach-using-rfap-feature-selection-and-ran.
BibTeX@misc{4ortxyz_enhancing-predictive-accuracy-in-cardiovascular-disease-diagnosis-a-hybrid-approach-using-rfap-feature-selection-and-ran_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Predictive Accuracy in Cardiovascular Disease Diagnosis: A Hybrid Approach Using RFAP Feature Selection and Random Forest Modeling}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-predictive-accuracy-in-cardiovascular-disease-diagnosis-a-hybrid-approach-using-rfap-feature-selection-and-ran}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Predictive Accuracy in Cardiovascular Disease Diagnosis: A Hybrid Approach Using RFAP Feature Selection and Random Forest Modeling — https://4ort.xyz/entity/enhancing-predictive-accuracy-in-cardiovascular-disease-diagnosis-a-hybrid-approach-using-rfap-feature-selection-and-ran (retrieved 2026-05-24)
