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	Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data
	Gao, Ting; Hao, Yaguang; Zhang, Haipeng; Hu, Lina; Li, Hongzhi; Li, Hui; Hu, LiHong; Han, Bing
刊名	PERSONAL AND UBIQUITOUS COMPUTING
	2018
卷号	22期号:5-6
关键词	Breast cancer Neoadjuvant chemotherapy k-nearest neighbor Pathological response Imbalanced clinical data
ISSN号	1617-4909
URL标识	查看原文
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3536067
专题	吉林大学白求恩第一医院
推荐引用方式 GB/T 7714	Gao, Ting,Hao, Yaguang,Zhang, Haipeng,et al. Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data[J]. PERSONAL AND UBIQUITOUS COMPUTING,2018,22(5-6).
APA	Gao, Ting.,Hao, Yaguang.,Zhang, Haipeng.,Hu, Lina.,Li, Hongzhi.,...&Han, Bing.(2018).Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data.PERSONAL AND UBIQUITOUS COMPUTING,22(5-6).
MLA	Gao, Ting,et al."Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data".PERSONAL AND UBIQUITOUS COMPUTING 22.5-6(2018).

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