Evidence map›Paper›PMID 34759854›Full record

ArticleFrontiers in psychology2021

A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for "Tree Hole" Microblog Users in China.

Bing Xiang Yang, Lin Xia, Lianzhong Liu, Wentao Nie, Qian Liu, Xin Yi Li, Meng Qin Ao, Xiao Qin Wang, Ya Dian Xie, Zhongchun Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 2 countries.

Bing Xiang YangSchool of Health Sciences, Wuhan University, Wuhan, China.
Lin XiaSchool of Health Sciences, Wuhan University, Wuhan, China.
Lianzhong LiuWuhan Mental Health Center, Wuhan, China.
Wentao NieSchool of Health Sciences, Wuhan University, Wuhan, China.
Qian LiuSchool of Health Sciences, Wuhan University, Wuhan, China.
Xin Yi LiSchool of Health Sciences, Wuhan University, Wuhan, China.
Meng Qin AoSchool of Health Sciences, Wuhan University, Wuhan, China.
Xiao Qin WangSchool of Health Sciences, Wuhan University, Wuhan, China.
Ya Dian XieSchool of Health Sciences, Wuhan University, Wuhan, China.
Zhongchun LiuDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Yi Jia HuangSchool of Health Sciences, Wuhan University, Wuhan, China.
Zhisheng HuangDivision of Mathematics and Computer Science, Faculty of Sciences, Vrije University Amsterdam, Amsterdam, Netherlands.
Xuan GongDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Dan LuoSchool of Health Sciences, Wuhan University, Wuhan, China.
Wuhan University · CNRenmin Hospital of Wuhan University · CNVrije Universiteit Amsterdam · NLZhongnan Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Zou Fan" is currently the largest "tree hole" on Weibo, where people having suicidal ideation often express their thoughts and use this channel to seek support. Therefore, early suicide monitoring and timely crisis intervention based on artificial intelligence technology are needed for this social media user group. This research was based on the knowledge graph technology, whereby "Tree Hole Intelligent Agent" (i.e., Artificial Intelligence Program) was used to identify "Zou Fan Tree Hole" users at high risk for suicide, and then, the "Tree Hole Action" carried out proactive suicide crisis intervention with them. The "Tree Hole Action" has temporarily prevented 3,629 potential suicides. The "Tree Hole Action" plays a significant role in suicide risk monitoring and crisis intervention for social media users and has been seen to have an important social impact.

Indexed as

artificial intelligencecrisis interventionknowledge graphsocial mediasuicidetree hole of Weibo

Identifiers

PMID34759854
PMCPMC8573267
OpenAlexW3209053177

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.