Prediction of pathologic complete response to neoadjuvant chemotherapy using machine learning models in patients with breast cancer

被引：0
|
作者：
Ji-Yeon Kim
Eunjoo Jeon
Soonhwan Kwon
Hyungsik Jung
Sunghoon Joo
Youngmin Park
Se Kyung Lee
Jeong Eon Lee
Seok Jin Nam
Eun Yoon Cho
Yeon Hee Park
Jin Seok Ahn
Young-Hyuck Im
机构：
[1] Samsung Medical Center,Division of Hematology
[2] Sungkyunkwan University School of Medicine,Oncology, Department of Internal Medicine
[3] Department of Surgery,Department of Pathology, Samsung Medical Center
[4] Samsung Medical Center,undefined
[5] Sungkyunkwan University School of Medicine,undefined
[6] Sungkyunkwan University School of Medicine,undefined
[7] Digital Health Business Team,undefined
[8] Samsung SDS,undefined
来源：
Breast Cancer Research and Treatment | 2021年 / 189卷
关键词：
Breast cancer; Neoadjuvant chemotherapy; Machine learning; Pathologic complete response;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：747 / 757
页数：10
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