Prediction models for suicide attempts and deaths: a systematic review and simulation
BE Belsher, DJ Smolenski, LD Pruitt, NE Bush… - JAMA …, 2019 - jamanetwork.com
Importance Suicide prediction models have the potential to improve the identification of
patients at heightened suicide risk by using predictive algorithms on large-scale data …
patients at heightened suicide risk by using predictive algorithms on large-scale data …
Neuropsychiatric events associated with montelukast in patients with asthma: a systematic review
Background: The United States Food and Drug Administration issued a black box warning
on the mental health adverse effects of montelukast in 2020. Age-related effects on the risk …
on the mental health adverse effects of montelukast in 2020. Age-related effects on the risk …
Predicting suicidal behavior from longitudinal electronic health records
Y Barak-Corren, VM Castro, S Javitt… - American journal of …, 2017 - Am Psychiatric Assoc
Objective: The purpose of this article was to determine whether longitudinal historical data,
commonly available in electronic health record (EHR) systems, can be used to predict …
commonly available in electronic health record (EHR) systems, can be used to predict …
Machine learning for suicide risk prediction in children and adolescents with electronic health records
Accurate prediction of suicide risk among children and adolescents within an actionable
time frame is an important but challenging task. Very few studies have comprehensively …
time frame is an important but challenging task. Very few studies have comprehensively …
The US Food and Drug Administration's Mini‐Sentinel program: status and direction
R Platt, RM Carnahan, JS Brown… - … and drug safety, 2012 - Wiley Online Library
ABSTRACT The Mini‐Sentinel is a pilot program that is developing methods, tools,
resources, policies, and procedures to facilitate the use of routinely collected electronic …
resources, policies, and procedures to facilitate the use of routinely collected electronic …
Identifying suicide ideation and suicidal attempts in a psychiatric clinical research database using natural language processing
AC Fernandes, R Dutta, S Velupillai, J Sanyal… - Scientific reports, 2018 - nature.com
Research into suicide prevention has been hampered by methodological limitations such as
low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies …
low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies …
Twelve-month suicidal symptoms and use of services among adolescents: results from the National Comorbidity Survey
Objective The study assessed the prevalence of suicidal ideation, suicide plans, and suicide
attempts as well as patterns of mental health service use among adolescents. Methods Data …
attempts as well as patterns of mental health service use among adolescents. Methods Data …
Suicide risk in first year after dementia diagnosis in older adults
Introduction Receiving a diagnosis of Alzheimer's disease or related dementias (ADRD) can
be a pivotal and stressful period. We examined the risk of suicide in the first year after ADRD …
be a pivotal and stressful period. We examined the risk of suicide in the first year after ADRD …
Suicide and self-harm in adult survivors of critical illness: population based cohort study
Objective To analyse the association between survival from critical illness and suicide or self-
harm after hospital discharge. Design Population based cohort study using linked and …
harm after hospital discharge. Design Population based cohort study using linked and …
Risk factors, methods, and timing of suicide attempts among US Army soldiers
Importance Suicide attempts in the US Army have risen in the past decade. Understanding
the association between suicide attempts and deployment, as well as method and timing of …
the association between suicide attempts and deployment, as well as method and timing of …