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| Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer |
| Woojae Kim, Ku Sang Kim, Rae Woong Park |
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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  A Validated Prediction Model and Nomogram for Risk of Recurrence in Early Breast Cancer Patients Value in Health. 2014;17(7):A619-A620 Naive Bayesian Machine Learning to Diagnose Breast Cancer . 2020; Comments on: a prediction model for distant metastasis after isolated locoregional recurrence of breast cancer Breast Cancer Research and Treatment. 2023;199(3):583-584 Multi-gene classifiers for prediction of recurrence in breast cancer patients Breast Cancer. 2015;23(1):12-18 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 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 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 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 Predictive Nomogram for the Prediction of Recurrence of Cutaneous Squamous Cell Cancer . 2022; |
