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Predictions of the pathological response to neoadjuvant chemotherapy in patients with primary breast cancer using a data mining technique.
Takada, M; Sugimoto, M; Ohno, S; Kuroi, K; Sato, N; Bando, H; Masuda, N; Iwata, H; Kondo, M; Sasano, H; Chow, L W C; Inamoto, T; Naito, Y; Tomita, M; Toi, M.
Affiliation
  • Takada M; Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Kawaracho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
Breast Cancer Res Treat ; 134(2): 661-70, 2012 Jul.
Article in En | MEDLINE | ID: mdl-22689089
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Carcinoma, Ductal, Breast / Data Mining Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Breast Cancer Res Treat Year: 2012 Document type: Article Affiliation country: Japón Country of publication: Países Bajos
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Carcinoma, Ductal, Breast / Data Mining Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Breast Cancer Res Treat Year: 2012 Document type: Article Affiliation country: Japón Country of publication: Países Bajos