Knowledge Commons of Institute of Automation,CAS
Health Status Prediction with Local-Global Heterogeneous Behavior Graph | |
Ma, Xuan1,2,3; Yang, Xiaoshan1,3; Gao, Junyu1,2,3; Xu, Changsheng1,2,3 | |
发表期刊 | ACM Transactions on Multimedia Computing Communications and Applications |
ISSN | 1551-6857 |
2021-03 | |
卷号 | 0期号:0页码:0 |
摘要 | mainly relies on hospital examination and treatment, which are complicated and untimely. The emerging of mobile devices provides the possibility to manage people’s health status in a convenient and instant way. Estimation of health status can be achieved with various kinds of data streams continuously collected from wearable sensors. However, these data streams are multi-source and heterogeneous, containing complex temporal structures with local contextual and global temporal aspects, which makes the feature learning and data joint utilization challenging. We propose to model the behavior-related multi-source data streams with a localglobal graph, which contains multiple local context sub-graphs to learn short term local context information with heterogeneous graph neural networks and a global temporal sub-graph to learn long term dependency with self-attention networks. Then health status is predicted based on the structure-aware representation learned from the local-global behavior graph. We take experiments on StudentLife dataset, and extensive results demonstrate the effectiveness of our proposed model. |
关键词 | Health Status Prediction Graph Neural Networks Individual Behavior |
收录类别 | SCI |
WOS记录号 | WOS:000748857800013 |
七大方向——子方向分类 | 人工智能+医疗 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44766 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
通讯作者 | Xu, Changsheng |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, China 3.Peng Cheng Laboratory, China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Ma, Xuan,Yang, Xiaoshan,Gao, Junyu,et al. Health Status Prediction with Local-Global Heterogeneous Behavior Graph[J]. ACM Transactions on Multimedia Computing Communications and Applications,2021,0(0):0. |
APA | Ma, Xuan,Yang, Xiaoshan,Gao, Junyu,&Xu, Changsheng.(2021).Health Status Prediction with Local-Global Heterogeneous Behavior Graph.ACM Transactions on Multimedia Computing Communications and Applications,0(0),0. |
MLA | Ma, Xuan,et al."Health Status Prediction with Local-Global Heterogeneous Behavior Graph".ACM Transactions on Multimedia Computing Communications and Applications 0.0(2021):0. |
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TOMM-2020-0300.pdf(1170KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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