CrossRef Text and Data Mining
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Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer
Woojae Kim, Ku Sang Kim, Rae Woong Park
Healthc Inform Res. 2016;22(2):89-94.   Published online April 30, 2016
DOI: https://doi.org/10.4258/hir.2016.22.2.89

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Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer
Healthcare Informatics Research. 2016;22(2):89   Crossref logo
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A Validated Prediction Model and Nomogram for Risk of Recurrence in Early Breast Cancer Patients
Value in Health. 2014;17(7):A619-A620   Crossref logo
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Naive Bayesian Machine Learning to Diagnose Breast Cancer
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Multi-gene classifiers for prediction of recurrence in breast cancer patients
Breast Cancer. 2015;23(1):12-18   Crossref logo
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Comparison of CTS5 risk model and 21-gene recurrence score assay in large-scale breast cancer population and combination of CTS5 and recurrence score to develop a novel nomogram for prognosis prediction
The Breast. 2022;63:61-70   Crossref logo
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Oncotype DX breast cancer recurrence score can be predicted with a novel nomogram using clinicopathologic data
Breast Cancer Research and Treatment. 2017;163(1):51-61   Crossref logo
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Development of a Nomogram to Predict the Recurrence Score of 21-Gene Prediction Assay in Hormone Receptor–Positive Early Breast Cancer
Clinical Breast Cancer. 2020;20(2):98-107.e1   Crossref logo
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A nomogram for predicting locoregional recurrence in primary breast cancer patients who received breast-conserving surgery after neoadjuvant chemotherapy
Journal of Surgical Oncology. 2014;109(8):764-769   Crossref logo
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Predictive Nomogram for the Prediction of Recurrence of Cutaneous Squamous Cell Cancer
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Developing a Predictive Model for Depressive Disorders Using Stacking Ensemble and Naive Bayesian Nomogram: Using Samples Representing South Korea
Frontiers in Psychiatry. 2022;12:   Crossref logo
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