Mobile Communication Log Time Series to Detect Depressive Symptoms-Reference-Cited by-同舟云学术

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Mobile Communication Log Time Series to Detect Depressive Symptoms

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Tlachac M L¹,Reisch Miranda²,Heinz Michael³

Affiliation:

1. Bryant University,The Center for Health and Behavioral Sciences,Department of Information Systems and Analytics,Smithfield,RI,USA,02911

2. Worcester Polytechnic Institute (WPI),Department of Data Science,Worcester,MA,USA,01609

3. Dartmouth College,Departments of Quantitative Biomedical Sciences and Epidemiology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10341154.pdf?arnumber=10341154

Reference32 articles.

1. Major Depression in the National Comorbidity Survey–Adolescent Supplement: Prevalence, Correlates, and Treatment

2. The Growing Burden of Major Depressive Disorders (MDD): Implications for Researchers and Policy Makers

3. Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR*D study

4. Screening your adult patients for depression;Savoy;Family practice management,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-03-06

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