Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach

Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach

Show other versions (1)

<h4>Introduction</h4> Addressing the problem of suicidal thoughts and behavior (STB) in adolescents requires understanding the associated risk factors. While previous research has identified individual risk and protective factors associated with many adolescent social morbidities, modern...

Full description

Saved in:
Bibliographic Details
Main Authors: Orion Weller, Luke Sagers, Carl Hanson, Michael Barnes, Quinn Snell, E. Shannon Tass
Format: article
Language:EN
Published: Public Library of Science (PLoS) 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/47c2ef64d78a445285d5bb94db61b2b9
Tags: Add Tag
No Tags, Be the first to tag this record!
Search Result 1
Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach.
Get full text
article
Save to List
Saved in:
Show all versions (2)

Similar Items