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

文献类型：期刊论文

作者Liang, Yunji1,2; Zheng, Xiaolong2,4; Zeng, Daniel D.2,3
刊名INFORMATION FUSION
出版日期2019-12-01
卷号52页码:290-307
关键词Digital phenotyping Big data Mental health Data mining Information fusion
ISSN号1566-2535
DOI10.1016/j.inffus.2019.04.001
通讯作者Zheng, Xiaolong(xiaolong.zheng@ia.ac.cn)
英文摘要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.
WOS关键词FACIAL EXPRESSION RECOGNITION ; EMOTION RECOGNITION ; CLINICAL DEPRESSION ; RISK-FACTORS ; CLASSIFICATION ; SPEECH ; DISORDERS ; SLEEP ; METAANALYSIS ; SENTIMENT
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]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000473800600023
出版者ELSEVIER
资助机构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
源URL[http://ir.ia.ac.cn/handle/173211/26867]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
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
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.

入库方式： OAI收割

来源：自动化研究所

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