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A support vector machine model for predicting non-sentinel lymph node status in patients with sentinel lymph node positive breast cancer.
Ding, Xiaowen; Xie, Shangnao; Chen, Jie; Mo, Wenju; Yang, Hongjian.
Affiliation
  • Ding X; Department of Breast Surgery, Zhejiang Cancer Hospital, Hangzhou, 310022, China. dingxwhz@yeah.net
Tumour Biol ; 34(3): 1547-52, 2013 Jun.
Article in En | MEDLINE | ID: mdl-23397544
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Full text: 1 Database: MEDLINE Main subject: Breast Neoplasms / Carcinoma, Lobular / Carcinoma, Ductal, Breast / Sentinel Lymph Node Biopsy / Support Vector Machine Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: En Year: 2013 Type: Article
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Breast Neoplasms / Carcinoma, Lobular / Carcinoma, Ductal, Breast / Sentinel Lymph Node Biopsy / Support Vector Machine Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: En Year: 2013 Type: Article