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Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction
Research article (IEEE Access, 2025) · cited 10× · AI/ML
Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction
Summary
Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction is a scholarly article[1].
Key Facts
Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction'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). Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-advanced-techniques-rfe-svm-feature-engineering-and-nelder-mead-optimized-xgboost-for-accurate-lung-cancer-p
MLA“Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-advanced-techniques-rfe-svm-feature-engineering-and-nelder-mead-optimized-xgboost-for-accurate-lung-cancer-p.
BibTeX@misc{4ortxyz_integrating-advanced-techniques-rfe-svm-feature-engineering-and-nelder-mead-optimized-xgboost-for-accurate-lung-cancer-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-advanced-techniques-rfe-svm-feature-engineering-and-nelder-mead-optimized-xgboost-for-accurate-lung-cancer-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction — https://4ort.xyz/entity/integrating-advanced-techniques-rfe-svm-feature-engineering-and-nelder-mead-optimized-xgboost-for-accurate-lung-cancer-p (retrieved 2026-05-24)
