Digital phenotyping to improve prediction of suicidal urges in treatment: study protocol
Digital phenotyping offers a powerful approach for forecasting risk for suicidal ideation or
attempts over time. This method may serve as an especially useful strategy for …
attempts over time. This method may serve as an especially useful strategy for …
Using machine learning to predict suicide attempts in military personnel
Identifying predictors of suicide attempts is critical in intervention and prevention efforts, yet
finding predictors has proven difficult due to the low base rate and underpowered statistical …
finding predictors has proven difficult due to the low base rate and underpowered statistical …
Sleep disorder symptoms and suicidal urges among US Marines seeking suicide treatment: Findings from an intensive daily assessment study
Background Rates of suicide in United States Marines are among the highest in the military,
and sleep disorder symptoms are a known risk factor for suicide in the military. Intensive …
and sleep disorder symptoms are a known risk factor for suicide in the military. Intensive …
Machine learning to classify suicidal thoughts and behaviors: Implementation within the common data elements used by the military suicide research consortium
AK Littlefield, JT Cooke, CL Bagge… - Clinical …, 2021 - journals.sagepub.com
Suicide rates among military-connected populations have increased over the past 15 years.
Meta-analytic studies indicate prediction of suicide outcomes is lacking. Machine-learning …
Meta-analytic studies indicate prediction of suicide outcomes is lacking. Machine-learning …
Assessment and management of high-risk suicidal states in postdeployment operation enduring freedom and operation Iraqi freedom military personnel.
CA Claassen, KL Knox - 2011 - psycnet.apa.org
Abstract Between 2000 and 2006, 53% of all suicides in the general US population were
committed with firearms, and 80% of all suicide decedents were men (Centers for Disease …
committed with firearms, and 80% of all suicide decedents were men (Centers for Disease …
Predicting suicide ideation in the military: the independent role of aggression
The purpose of this study was to examine the longitudinal relationship between aggression
and suicide ideation when controlling for other externalizing (ie, alcohol misuse and risk …
and suicide ideation when controlling for other externalizing (ie, alcohol misuse and risk …
Identifying momentary suicidal ideation using machine learning in patients at high-risk for suicide
Background Strategies to detect the presence of suicidal ideation (SI) or characteristics of
ideation that indicate marked suicide risk are critically needed to guide interventions and …
ideation that indicate marked suicide risk are critically needed to guide interventions and …
New methods for assessing rapid changes in suicide risk
Rapid-acting interventions for the suicide crisis have the potential to transform treatment. In
addition, recent innovations in suicide research methods may similarly expand our …
addition, recent innovations in suicide research methods may similarly expand our …
The promise and the challenge of technology-facilitated methods for assessing behavioral and cognitive markers of risk for suicide among US Army National Guard …
Suicide was the 10th leading cause of death for Americans in 2015 and rates have been
steadily climbing over the last 25 years. Rates are particularly high amongst US military …
steadily climbing over the last 25 years. Rates are particularly high amongst US military …
SIMON: a digital protocol to monitor and predict suicidal ideation
Each year, more than 800,000 persons die by suicide, making it a leading cause of death
worldwide. Recent innovations in information and communication technology may offer new …
worldwide. Recent innovations in information and communication technology may offer new …