![]() The team said the implications of the research are critical for prevention programming and policy making. Researchers were not surprised to see some of the risk factors that rose to the top - bullying and harassment - but were a bit taken to see the heavy influence from family factors: three of the top ten predictive factors for STB were tied directly to family situations: 1) being in a family where there are serious arguments, 2) being in a family that argues about the same things over and over and 3) being in a family that yells and insults each other. “If you want to wrap your head around what you can do about it, these profiles are one good place to start.” “This analysis finds the most important root causes of suicidal thoughts and behavior in adolescents and creates risk profiles that give us a clearer picture of adolescents that are at risk,” said study coauthor Carl Hanson, professor of public health at BYU. Exposure/involvement in serious arguments and yelling at home.Being picked on or bullied by a student at school.Being threatened or harassed through digital media.Most importantly, the algorithm discovered which risk factors were the leading predictors of suicidal thoughts and behavior: ![]() The data showed females were more likely to experience suicidal thoughts and behavior (17.7%) than males (10.8%), and that those adolescents without a father in the home were 72.6% more likely to have suicidal ideation than those that did. Researchers then applied various algorithms to the data and found a machine-learning model that accurately predicted which adolescents went on to have suicidal thoughts and behaviors (STB) based on the data provided. The dataset includes responses to 300+ survey questions and 8000+ bits of demographic information, resulting in a total of 1.2 billion data points that were processed. The team analyzed data from 179,384 junior high and high school students, along with those who participated in the Student Health and Risk Prevention survey from 2011-2017. Professor Michael Barnes (left) and professor Carl Hanson were two researchers on the project. The study results show researchers can predict with high accuracy which adolescents will exhibit suicidal thoughts (consider or planning) or suicidal behavior (attempting) based on experiences they face. Our study explores those factors among adolescents to reflect the school and home environments." “It’s critical we have a better understanding of the risk factors - and the protective factors - associated with this heartbreaking issue. “Suicide is the second leading cause of death among adolescents in the U.S.,” said Michael Barnes, study coauthor and Associate Dean of the BYU College of Life Sciences. The researchers outline their machine learning approach in an article published today in PLOS ONE, where they also detail risk factors that are leading predictors of suicidal ideation and behavior among adolescents: online harassment and bullying. Researchers from Brigham Young University, Johns Hopkins and Harvard have created an algorithm that can predict suicidal thoughts and behavior among adolescents with 91% accuracy. If you or someone you know is in crisis, you can call the National Suicide Prevention Hotline 24 hours a day: 1-80. **CONTENT WARNING: THIS ARTICLE ADDRESSES TEENAGE SUICIDALITY**
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