Estimation and external validation of a new prognostic model for predicting recurrence-free survival for early breast cancer patients in the UK

H E Campbell; A M Gray; A L Harris; A H Briggs; M A Taylor

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Estimation and external validation of a new prognostic model for predicting recurrence-free survival for early breast cancer patients in the UK

机译：在英国早期乳腺癌患者中预测无复发生存的新预后模型的估计和外部验证

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Background:We aimed to estimate and externally validate a new UK-specific prognostic model for predicting the long-term risk of a first recurrent event (local recurrence, metastatic recurrence, or second primary breast cancer) in women diagnosed with early breast cancer.

机译：背景：我们旨在评估和外部验证一种新的英国特定的预后模型，以预测诊断为早期乳腺癌的妇女发生首次复发事件（局部复发，转移性复发或第二原发性乳腺癌）的长期风险。

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《British Journal of Cancer》 |2010年第6期|共11页
作者
H E Campbell; A M Gray; A L Harris; A H Briggs; M A Taylor;
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4. Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements [C] . Pu Yonglin, Baad Michael J., Jiang Yulei, International Joint Conference on Neural Networks . 2014

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5. Prognostic significance of some clinical, histopathological and biological parameters for survival of node-negative breast cancer patients treated in University Medical centre Maribor in the period 2000-2009 [D] . Fokter Dovnik, Nina. 2017

机译：2000 - 2009年在大学医疗中心管理中的节点阴性乳腺癌患者中临床，组织病理学和生物学参数的预后意义
6. Estimation and external validation of a new prognostic model for predicting recurrence-free survival for early breast cancer patients in the UK [O] . H E Campbell, A M Gray, A L Harris, 2010

机译：评估和预测英国早期乳腺癌患者无复发生存的新预后模型
7. Estimation and external validation of a new prognostic model for predicting recurrence-free survival for early breast cancer patients in the UK. [O] . Campbell, HE, Gray, AM, Harris, AL, 2010

机译：一种新的预后模型的估算和外部验证，用于预测英国早期乳腺癌患者的无复发生存率。

Estimation and external validation of a new prognostic model for predicting recurrence-free survival for early breast cancer patients in the UK

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