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Deep Survival Model Identified Prognostic Subgroups of Triple-Negative Breast Cancer Patients, Kim Isaac et al. CLINICS IN SURGERY, 2019,4, article 2344, 1-7
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A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning,Kim Isaac et al.EUROPEAN JOURNAL OF SURGICAL ONCOLOGY,2018,44(11):1-7
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Prognostic Validation of the American Joint Committee on Cancer 8th Staging System in 24,014 Korean Patients with Breast Cancer,Kim Isaac et al.JOURNAL OF BREAST CANCER,2018.21(2):173-181
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Development of a Nomogram to Predict N2 or N3 Stage in T1-2 Invasive Breast Cancer Patients with No Palpable Lymphadenopathy,Kim Isaac et al.JOURNAL OF BREAST CANCER,2017,20(3):270-278
3
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Fertility Rates in Young Korean Breast Cancer Patients Treated with Gonadotropin-Releasing Hormone and Chemotherapy,Kim Isaac et al.JOURNAL OF BREAST CANCER,2017,20(1):91-97
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EII3 stimulates 5-FU resistance in a breast cancer cell line,Kim Isaac et al.ONCOLOGY LETTERS,2017, 13(6): 4173-4179
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Clinicopathologic characteristics of malignant nonpalpable breast lesions with microcalcification compared to the benign group,Kim Isaac et al. JOURNAL OF BREAST DISEASE,2014,2(1):16-21
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