Adolescent suicidal risk assessment in clinician-patient interaction
V Venek, S Scherer, LP Morency… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Youth suicide is a major public health problem. It is the third leading cause of death in the
United States for ages 13 through 18. Many adolescents that face suicidal thoughts or make …
United States for ages 13 through 18. Many adolescents that face suicidal thoughts or make …
Adolescent suicidal risk assessment in clinician-patient interaction: A study of verbal and acoustic behaviors
V Venek, S Scherer, LP Morency… - 2014 IEEE Spoken …, 2014 - ieeexplore.ieee.org
Suicide among adolescents is a major public health problem: it is the third leading cause of
death in the US for ages 13-18. Up to now, there is no objective ways to assess the suicidal …
death in the US for ages 13-18. Up to now, there is no objective ways to assess the suicidal …
Identification of imminent suicide risk among young adults using text messages
Suicide is the second leading cause of death among young adults but the challenges of
preventing suicide are significant because the signs often seem invisible. Research has …
preventing suicide are significant because the signs often seem invisible. Research has …
A controlled trial using natural language processing to examine the language of suicidal adolescents in the emergency department
JP Pestian, J Grupp‐Phelan… - Suicide and Life …, 2016 - Wiley Online Library
What adolescents say when they think about or attempt suicide influences the medical care
they receive. Mental health professionals use teenagers' words, actions, and gestures to …
they receive. Mental health professionals use teenagers' words, actions, and gestures to …
A feasibility study using a machine learning suicide risk prediction model based on open-ended interview language in adolescent therapy sessions
J Cohen, J Wright-Berryman, L Rohlfs, D Wright… - International journal of …, 2020 - mdpi.com
Background: As adolescent suicide rates continue to rise, innovation in risk identification is
warranted. Machine learning can identify suicidal individuals based on their language …
warranted. Machine learning can identify suicidal individuals based on their language …
Using machine learning to classify suicide attempt history among youth in medical care settings
Background The current study aimed to classify recent and lifetime suicide attempt history
among youth presenting to medical settings using machine learning (ML) as applied to a …
among youth presenting to medical settings using machine learning (ML) as applied to a …
[HTML][HTML] Comparing machine learning to a rule-based approach for predicting suicidal behavior among adolescents: Results from a longitudinal population-based …
CL Van Vuuren, K Van Mens, D de Beurs… - Journal of affective …, 2021 - Elsevier
Introduction Suicidal thoughts and suicide attempts are one of the most prominent public
health concerns in adolescents and therefore early detection is important to initiate …
health concerns in adolescents and therefore early detection is important to initiate …
Intensive longitudinal assessment of adolescents to predict suicidal thoughts and behaviors
Objective Suicide is a leading cause of death among adolescents. However, there are no
clinical tools to detect proximal risk for suicide. Method Participants included 13-to 18-year …
clinical tools to detect proximal risk for suicide. Method Participants included 13-to 18-year …
Predicting short-term suicidal thoughts in adolescents using machine learning: developing decision tools to identify daily level risk after hospitalization
BackgroundMobile technology offers unique opportunities for monitoring short-term suicide
risk in daily life. In this study of suicidal adolescent inpatients, theoretically informed risk …
risk in daily life. In this study of suicidal adolescent inpatients, theoretically informed risk …
Machine learning for suicidal ideation identification: A systematic literature review
WF Heckler, JV de Carvalho, JLV Barbosa - Computers in Human Behavior, 2022 - Elsevier
Suicide causes approximately one death every 40 s. Suicidal ideation is the first stage in the
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …