Journal of Artificial Intelligence for Medical Sciences

In Press, Uncorrected Proof, Available Online: 14 December 2020

Extraction of Characteristics of Time in “Tree Hole” Data

Authors
Xiaomin Jing1, *, ORCID, Shaofu Lin2, Zhisheng Huang3
1 The Information Department, Beijing University of Technology, Beijing, China
2 Beijing Institute of Smart City, Beijing University of Technology, Beijing, China
3 Department of Computer Science, Vrije University Amsterdam, Amsterdam, The Netherlands
*Corresponding author. E-mail: jingxiaomin5@163.com
Corresponding Author
Xiaomin Jing
Received 21 November 2019, Accepted 9 November 2020, Available Online 14 December 2020.
DOI
https://doi.org/10.2991/jaims.d.201209.001How to use a DOI?
Keywords
Depression, Microblog, Tree hole, Knowledge graph, Time characteristics, Rescue
Abstract

Statistics show that 15 percent of depressed people died by suicide, and more than 50 percent of depressed people are thinking about suicide. Worldwide, depression has become the second leading cause of death among people aged 15–29. This paper focus on the “tree hole” message data on microblog, and conducts data visualization research from different granularity, such as quarter, month, and analyses activity of message during holiday based on the knowledge graph, so as to obtain the national time distribution characteristics of the potential risk of mental health for the reference of social institutions’ monitoring and rescue and government departments’ decision-making. According to the time distribution rule of “tree hole” data, the relatively high occurrence time and possible reasons for depression and suicide are found, so that manpower could be reasonably deployed for effective prevention and rescue.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Artificial Intelligence for Medical Sciences
Publication Date
2020/12
ISSN (Online)
2666-1470
DOI
https://doi.org/10.2991/jaims.d.201209.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Xiaomin Jing
AU  - Shaofu Lin
AU  - Zhisheng Huang
PY  - 2020
DA  - 2020/12
TI  - Extraction of Characteristics of Time in “Tree Hole” Data
JO  - Journal of Artificial Intelligence for Medical Sciences
SN  - 2666-1470
UR  - https://doi.org/10.2991/jaims.d.201209.001
DO  - https://doi.org/10.2991/jaims.d.201209.001
ID  - Jing2020
ER  -