A survey on big data-driven digital phenotyping of mental health

doi:10.1016/j.inffus.2019.04.001

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	A survey on big data-driven digital phenotyping of mental health
	Liang, Yunji 1,2; Zheng, Xiaolong2,4 ; Zeng, Daniel D.2,3
发表期刊	INFORMATION FUSION
ISSN	1566-2535
	2019-12-01
卷号	52 页码:290-307
通讯作者	Zheng, Xiaolong(xiaolong.zheng@ia.ac.cn)
摘要	The landscape of mental health has undergone tremendous changes within the last two decades, but the research on mental health is still at the initial stage with substantial knowledge gaps and the lack of precise diagnosis. Nowadays, big data and artificial intelligence offer new opportunities for the screening and prediction of mental problems. In this review paper, we outline the vision of digital phenotyping of mental health (DPMH) by fusing the enriched data from ubiquitous sensors, social media and healthcare systems, and present a broad overview of DPMH from sensing and computing perspectives. We first conduct a systematical literature review and propose the research framework, which highlights the key aspects related with mental health, and discuss the challenges elicited by the enriched data for digital phenotyping. Next, five key research strands including affect recognition, cognitive analytics, behavioral anomaly detection, social analytics, and biomarker analytics are unfolded in the psychiatric context. Finally, we discuss various open issues and the corresponding solutions to underpin the digital phenotyping of mental health.
关键词	Digital phenotyping Big data Mental health Data mining Information fusion
DOI	10.1016/j.inffus.2019.04.001
关键词[WOS]	FACIAL EXPRESSION RECOGNITION ; EMOTION RECOGNITION ; CLINICAL DEPRESSION ; RISK-FACTORS ; CLASSIFICATION ; SPEECH ; DISORDERS ; SLEEP ; METAANALYSIS ; SENTIMENT
收录类别	SCI
语种	英语
资助项目	Ministry of Health of China[2017ZX10303401-002] ; Natural Science Foundation of China[71472175] ; Natural Science Foundation of China[71602184] ; Natural Science Foundation of China[71621002] ; National Key Research and Development Program of China[2016QY02D0305] ; National Key Research and Development Program of China[2017YFC1200302] ; National Institutes of Health[5R01DA037378-04] ; Fundamental Research Funds for the Central Universities[31020180QD140] ; Ministry of Health of China[2017ZX10303401-002] ; Natural Science Foundation of China[71472175] ; Natural Science Foundation of China[71602184] ; Natural Science Foundation of China[71621002] ; National Key Research and Development Program of China[2016QY02D0305] ; National Key Research and Development Program of China[2017YFC1200302] ; National Institutes of Health[5R01DA037378-04] ; Fundamental Research Funds for the Central Universities[31020180QD140]
项目资助者	Ministry of Health of China ; Natural Science Foundation of China ; National Key Research and Development Program of China ; National Institutes of Health ; Fundamental Research Funds for the Central Universities
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000473800600023
出版者	ELSEVIER
七大方向——子方向分类	社会计算
引用统计	被引频次：77[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/26868
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者	Zheng, Xiaolong
作者单位	1.Northwestern Polytech Univ, Sch Comp Sci, Xian, Shaanxi, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 3.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA 4.Univ Chinese Acad Sci, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Liang, Yunji,Zheng, Xiaolong,Zeng, Daniel D.. A survey on big data-driven digital phenotyping of mental health[J]. INFORMATION FUSION,2019,52:290-307.
APA	Liang, Yunji,Zheng, Xiaolong,&Zeng, Daniel D..(2019).A survey on big data-driven digital phenotyping of mental health.INFORMATION FUSION,52,290-307.
MLA	Liang, Yunji,et al."A survey on big data-driven digital phenotyping of mental health".INFORMATION FUSION 52(2019):290-307.