Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction

Research article (IEEE Access, 2020) · cited 72× · AI/ML
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Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction

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Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/novel-feature-reduction-nfr-model-with-machine-learning-and-data-mining-algorithms-for-effective-disease-risk-prediction
MLA “Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/novel-feature-reduction-nfr-model-with-machine-learning-and-data-mining-algorithms-for-effective-disease-risk-prediction.
BibTeX @misc{4ortxyz_novel-feature-reduction-nfr-model-with-machine-learning-and-data-mining-algorithms-for-effective-disease-risk-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/novel-feature-reduction-nfr-model-with-machine-learning-and-data-mining-algorithms-for-effective-disease-risk-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction — https://4ort.xyz/entity/novel-feature-reduction-nfr-model-with-machine-learning-and-data-mining-algorithms-for-effective-disease-risk-prediction (retrieved 2026-05-24)

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