Predicting breast cancer recurrence using effective classification and feature selection technique

Research article (2016 19th International Conference on Computer and Information Technology (ICCIT), 2016) · cited 87× · AI/ML
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Predicting breast cancer recurrence using effective classification and feature selection technique

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Predicting breast cancer recurrence using effective classification and feature selection technique is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting breast cancer recurrence using effective classification and feature selection technique. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-breast-cancer-recurrence-using-effective-classification-and-feature-selection-technique
MLA “Predicting breast cancer recurrence using effective classification and feature selection technique.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-breast-cancer-recurrence-using-effective-classification-and-feature-selection-technique.
BibTeX @misc{4ortxyz_predicting-breast-cancer-recurrence-using-effective-classification-and-feature-selection-technique_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting breast cancer recurrence using effective classification and feature selection technique}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-breast-cancer-recurrence-using-effective-classification-and-feature-selection-technique}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting breast cancer recurrence using effective classification and feature selection technique — https://4ort.xyz/entity/predicting-breast-cancer-recurrence-using-effective-classification-and-feature-selection-technique (retrieved 2026-05-24)

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