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Social Web Mining for Suicide Prevention

NCT04052477 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 9

Last updated 2021-09-02

No results posted yet for this study

Summary

According to a recent and alarming WHO (World Health Organisation) report (September 4, 2014), one person dies of suicide every 40 seconds in the world. Suicide is the third-leading cause of death for 15- to 24-year-olds, according to the Centers for Disease Control and Prevention , after accidents and homicide.

This major public health issue need prevention strategies especially directed to at-risk populations. Since 2013, more than 2 billion users are enrolled in social networks such as Twitter or Facebook. Young adults (ages 18 to 29) are the most likely to use social media - fully 90% do.

Consequently, in this project, we focus on suicide prevention in social media network..

The aim of this project is the validation of the algorithm. This algorithm build a decision support system that monitor young people at-risk based on large volume of heterogeneous data collected through social media to improve suicide prevention.

Conditions

  • Suicidal Behaviors

Sponsors & Collaborators

  • LIRMM - Montpellier - France

    collaborator UNKNOWN

  • University Hospital, Montpellier

    lead OTHER

Principal Investigators

  • Sébastien Guillaume, PhD · University Hospital, Montpellier

Eligibility

Min Age
15 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-01-01
Primary Completion
2017-06-01
Completion
2020-12-30

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04052477 on ClinicalTrials.gov