Social Web Mining for Suicide Prevention (Don't Do It)
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|ClinicalTrials.gov Identifier: NCT04052477|
Recruitment Status : Active, not recruiting
First Posted : August 9, 2019
Last Update Posted : August 9, 2019
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.
|Condition or disease|
This study is composed of two steps :
9 subjects were recruited. After patients agreement, computer scientists were accessing to patient social network profile. Computer scientists were not able to visualize the content of publications, just run the algorithm that will analyse the content of messages (text, frequency, emoticons…)
The algorithm defines the 3 most at-risk periods of suicide behaviors, on the next month. This result were compared to periods found by psychiatric interview. The psychiatrist then confirmed or not to LIRM whether periods found by the algorithm conrrespond to those defined by the psychitrist. No data of the social network were collected.
- the 2nd step aim to improve the algorithm by collecting sociodemographic and clincal data related to patients included.
|Study Type :||Observational|
|Actual Enrollment :||9 participants|
|Official Title:||Social Web Mining for Suicide Prevention of Young People|
|Actual Study Start Date :||January 1, 2017|
|Actual Primary Completion Date :||June 1, 2017|
|Estimated Study Completion Date :||September 30, 2019|
- sensitivity of the algorithm [ Time Frame: 1 day ]baseline
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04052477
|Montpellier, France, 34295|
|Principal Investigator:||Sébastien Guillaume, PhD||University Hospital, Montpellier|