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	Data Mining-Based Detection of Rapid Growth in Length of Stay on COPD Patients
	Luo, L; Lian, SH; Feng, CR; Huang, DB; Zhang, W; IEEE
刊名	2017 IEEE 2ND INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA)
	2017
页码	259-263
关键词	COPD LOS predicting random forests
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/1868899
专题	四川大学
作者单位	1.Chengdu Med Insurance Adm, Chengdu, Sichuan, Peoples R China 2.Sichuan Univ, West China Biomed Big Data Ctr, Chengdu, Sichuan, Peoples R China 3.Sichuan Univ, Sch Business, Chengdu, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Luo, L,Lian, SH,Feng, CR,et al. Data Mining-Based Detection of Rapid Growth in Length of Stay on COPD Patients[J]. 2017 IEEE 2ND INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA),2017:259-263.
APA	Luo, L,Lian, SH,Feng, CR,Huang, DB,Zhang, W,&IEEE.(2017).Data Mining-Based Detection of Rapid Growth in Length of Stay on COPD Patients.2017 IEEE 2ND INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA),259-263.
MLA	Luo, L,et al."Data Mining-Based Detection of Rapid Growth in Length of Stay on COPD Patients".2017 IEEE 2ND INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA) (2017):259-263.

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