A critical review of text mining applications for suicide research
Abstract Purpose of Review Applying text mining to suicide research holds a great deal of
promise. In this manuscript, literature from 2019 to 2021 is critically reviewed for text mining …
promise. In this manuscript, literature from 2019 to 2021 is critically reviewed for text mining …
Future directions in understanding and interpreting discrepant reports of suicidal thoughts and behaviors among youth
Both the quality and utility of youth suicide research depend on how we assess our
outcomes of interest: suicidal thoughts and behaviors (STBs). We now have access to more …
outcomes of interest: suicidal thoughts and behaviors (STBs). We now have access to more …
[HTML][HTML] Machine learning-based prediction for self-harm and suicide attempts in adolescents
This study aimed to use machine learning (ML) models to predict the risk of self-harm and
suicide attempts in adolescents. We conducted secondary analysis of cross-sectional data …
suicide attempts in adolescents. We conducted secondary analysis of cross-sectional data …
Depression classification from tweets using small deep transfer learning language models
Depression detection from social media texts such as Tweets or Facebook comments could
be very beneficial as early detection of depression may even avoid extreme consequences …
be very beneficial as early detection of depression may even avoid extreme consequences …
Reasons for suicide in Black young adults: A latent class analysis
JR Goodwill - Journal of racial and ethnic health disparities, 2024 - Springer
Background Suicides have increased among Black youth in the US, though it remains
unclear if these trends persist into young adulthood. Further, even less is known about the …
unclear if these trends persist into young adulthood. Further, even less is known about the …
Predicting aging trajectories of decline in brain volume, cortical thickness and fractional anisotropy in schizophrenia
Brain-age prediction is a novel approach to assessing deviated brain aging trajectories in
different diseases. However, most studies have used an average brain age gap (BAG) of …
different diseases. However, most studies have used an average brain age gap (BAG) of …
[HTML][HTML] Building a natural language processing artificial intelligence to predict suicide-related events based on patient portal message data
Objective To develop a natural language processing artificial intelligence model trained on
text from patient portal messages to predict 30-day suicide-related events (SRE). Patients …
text from patient portal messages to predict 30-day suicide-related events (SRE). Patients …
[HTML][HTML] Detection of suicidal ideation in clinical interviews for depression using natural language processing and machine learning: cross-sectional study
Background: Assessing patients' suicide risk is challenging, especially among those who
deny suicidal ideation. Primary care providers have poor agreement in screening suicide …
deny suicidal ideation. Primary care providers have poor agreement in screening suicide …
Association of online risk factors with subsequent youth suicide-related behaviors in the US
SA Sumner, B Ferguson, B Bason, J Dink… - JAMA network …, 2021 - jamanetwork.com
Importance The association between online activities and youth suicide is an important
issue for parents, clinicians, and policy makers. However, most information exploring …
issue for parents, clinicians, and policy makers. However, most information exploring …
Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS
Suicide is the 10 th leading cause of death in the US (1999-2019). However, predicting
when someone will attempt suicide has been nearly impossible. In the modern world, many …
when someone will attempt suicide has been nearly impossible. In the modern world, many …