Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology

Research article (Applied Artificial Intelligence, 2020) · cited 15× · AI/ML
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Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology

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Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-recurrence-prediction-accuracy-of-ovarian-cancer-using-multi-phase-feature-selection-methodology
MLA “Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-recurrence-prediction-accuracy-of-ovarian-cancer-using-multi-phase-feature-selection-methodology.
BibTeX @misc{4ortxyz_improving-recurrence-prediction-accuracy-of-ovarian-cancer-using-multi-phase-feature-selection-methodology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology}}, year = {2026}, url = {https://4ort.xyz/entity/improving-recurrence-prediction-accuracy-of-ovarian-cancer-using-multi-phase-feature-selection-methodology}, note = {Accessed: 2026-05-24}}
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