An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data-Reference-Cited by-同舟云学术

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An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data

Published:2023-12-04 Issue: Volume:29 Page:1306-1312
ISSN:
Container-title:2023 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Xu Dewen¹,Wang Zhihua¹,Kitajima Tsuyoshi²,Nakamura Toru³,Shimura Hiroko¹,Takeuchi Hiroki¹,Tan Yang⁴,Ge Runze⁴,Qian Kun¹,Hu Bin⁴,Schuller Björn W.⁵,Yamamoto Yoshiharu¹

Affiliation:

1. The University of Tokyo,Educational Physiology Laboratory, Graduate School of Education,Japan

2. Fujita Health University School of Medicine,Department of Psychiatry,Toyoake,Japan

3. Osaka University,Institute for Datability Science,Japan

4. Ministry of Education,Key Laboratory of Brain Health Intelligent Evaluation and Intervention (Beijing Institute of Technology),Beijing,China

5. GLAM – the Group on Language, Audio, & Music, Imperial College,London,UK

Funder

National Natural Science Foundation of China

Ministry of Science and Technology

China Scholarship Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10411504/10411508/10411607.pdf?arnumber=10411607

Reference39 articles.

1. Genetics and genomics of psychiatric disease

2. Biomarkers of psychiatric diseases: Current status and future prospects

3. Adolescent psychiatric disorders during the COVID-19 pandemic and lockdown

4. The Impact of the COVID-19 Pandemic on Mental Disorders. A Critical Review

5. A review of the economic impact of mental illness

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