Application of machine learning to elucidate the biology predicting response in the I-SPY 2 neoadjuvant breast cancer trial

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Application of machine learning to elucidate the biology predicting response in the I-SPY 2 neoadjuvant breast cancer trial

机译：机器学习在I-Spy 2 Neoadjuvant乳腺癌试验中阐明生物学预测反应的应用

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《Intelligence: A Multidisciplinary Journal》 |2020年第2020期|共4页
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正文语种 eng
中图分类心理学;
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1. Application of machine learning to elucidate the biology predicting response in the I-SPY 2 neoadjuvant breast cancer trial [J] . Intelligence: A Multidisciplinary Journal . 2020,第期

机译：机器学习在I-Spy 2 Neoadjuvant乳腺癌试验中阐明生物学预测反应的应用
2. Comparison of residual cancer burden, American Joint Committee on Cancer staging and pathologic complete response in breast cancer after neoadjuvant chemotherapy: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657) [J] . Campbell Jeffrey I., Yau Christina, Krass Polina, Breast cancer research and treatment. . 2017,第1期

机译：Neoadjuvant化疗后乳腺癌癌症分期和病理完全反应的残余癌症负担比较：I-Spy 1试验结果（CalgB 150007/150012; acrin 6657）
3. Comparison of residual cancer burden, American Joint Committee on Cancer staging and pathologic complete response in breast cancer after neoadjuvant chemotherapy: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657) [J] . Campbell Jeffrey I., Yau Christina, Krass Polina, Breast cancer research and treatment. . 2017,第1期

机译：剩余癌症负担的比较，美国联合癌症癌症委员会乳腺癌癌症分期和病理完全反应疗法：I-Spy 1试验结果（Calgb 150007/150012; acrin 6657）
4. A Comparative Study on Machine Learning Algorithms for Predicting Breast Cancer Prognosis in Improving Clinical Trials [C] . Neetu Sangari, Yanzhen Qu International Conference on Computational Science and Computational Intelligence . 2020

机译：用于预测乳腺癌预后改善临床试验的机器学习算法的比较研究
5. Using Preoperative Mri-guided Biopsies to Predict Pathologic Complete Response after Neoadjuvant Chemotherapy in Breast Cancer [D] . Kim, Jiyoon. 2019

机译：在乳腺癌新辅助化疗后使用术前Mri引导的活检来预测病理完全缓解
6. Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy [O] . Subramani Mani, Yukun Chen, Xia Li, 2013

机译：研究与应用：机器学习预测乳腺癌对新辅助化疗的反应
7. Comparison of residual cancer burden, American Joint Committee on Cancer staging and pathologic complete response in breast cancer after neoadjuvant chemotherapy: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657) [O] . Jeffrey I. Campbell, Christina Yau, Polina Krass, 2017

机译：剩余癌症负担的比较，美国联合癌症癌症委员会乳腺癌癌症分期和病理完全反应疗法：I-Spy 1试验结果（Calgb 150007/150012; acrin 6657）

Application of machine learning to elucidate the biology predicting response in the I-SPY 2 neoadjuvant breast cancer trial

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