Prediction of postoperative disease-free survival and brain metastasis for HER2-positive breast cancer patients treated with neoadjuvant chemotherapy plus trastuzumab using a machine learning algorithm

被引:0
作者
Masahiro Takada
Masahiro Sugimoto
Norikazu Masuda
Hiroji Iwata
Katsumasa Kuroi
Hiroyasu Yamashiro
Shinji Ohno
Hiroshi Ishiguro
Takashi Inamoto
Masakazu Toi
机构
[1] Kyoto University Hospital,Department of Breast Surgery
[2] Tokyo Medical University,Health Promotion and Preemptive Medicine, Research and Development Center for Minimally Invasive Therapies
[3] Osaka National Hospital,Department of Surgery, Breast Oncology
[4] Aichi Cancer Center,Department of Breast Oncology
[5] Komagome Hospital,Department of Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Centre
[6] Tenri Hospital,Department of Breast Surgery
[7] The Cancer Institute Hospital of Japanese Foundation for Cancer Research,Breast Oncology Center
[8] International University of Health and Welfare Hospital,Department of Medical Oncology
[9] Tenri Health Care University,Faculty of Health Care
来源
Breast Cancer Research and Treatment | 2018年 / 172卷
关键词
Decision support techniques; Nomograms; Prognosis; Breast cancer; Neoadjuvant therapy; Trastuzumab;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:611 / 618
页数:7
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