CORC  > 山东大学
IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment
Li, Yuwen; Chen, Weitong; Liu, Deyin; Zhang, Zhimin; Wu, Shunxiang; Liu, Chengyu
刊名IEEE ACCESS
2019
卷号7页码:36810-36818
关键词Disease correlation disease-specific feature learning ICD code labeling multi-label classification
DOI10.1109/ACCESS.2019.2902467
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4532104
专题山东大学
作者单位1.Xiamen Univ, Dept Automat, Xiamen 361005, Peoples R China.
2.Univ Queensland, S
推荐引用方式
GB/T 7714
Li, Yuwen,Chen, Weitong,Liu, Deyin,et al. IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment[J]. IEEE ACCESS,2019,7:36810-36818.
APA Li, Yuwen,Chen, Weitong,Liu, Deyin,Zhang, Zhimin,Wu, Shunxiang,&Liu, Chengyu.(2019).IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment.IEEE ACCESS,7,36810-36818.
MLA Li, Yuwen,et al."IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment".IEEE ACCESS 7(2019):36810-36818.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace