AIMC Topic: Suicide Prevention
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Canada protocol: An ethical checklist for the use of artificial Intelligence in suicide prevention and mental health.
Artificial intelligence in medicine
Jul 18, 2020
Machine Learning Algorithms in Suicide Prevention: Clinician Interpretations as Barriers to Implementation.
The Journal of clinical psychiatry
Apr 21, 2020
OBJECTIVE: Machine learning algorithms in electronic medical records can classify patients by suicide risk, but no research has explored clinicians' perceptions of suicide risk flags generated by these algorithms, which may affect algorithm implement...
Natural language processing of clinical mental health notes may add predictive value to existing suicide risk models.
Psychological medicine
Feb 17, 2020
BACKGROUND: This study evaluated whether natural language processing (NLP) of psychotherapy note text provides additional accuracy over and above currently used suicide prediction models.
The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors.
The Australian and New Zealand journal of psychiatry
Jul 26, 2019
OBJECTIVE: Suicide is a growing public health concern with a global prevalence of approximately 800,000 deaths per year. The current process of evaluating suicide risk is highly subjective, which can limit the efficacy and accuracy of prediction effo...
Machine learning methods for developing precision treatment rules with observational data.
Behaviour research and therapy
May 28, 2019
Clinical trials have identified a variety of predictor variables for use in precision treatment protocols, ranging from clinical biomarkers and symptom profiles to self-report measures of various sorts. Although such variables are informative collect...
Deep Sequential Models for Suicidal Ideation From Multiple Source Data.
IEEE journal of biomedical and health informatics
May 27, 2019
This paper presents a novel method for predicting suicidal ideation from electronic health records (EHR) and ecological momentary assessment (EMA) data using deep sequential models. Both EHR longitudinal data and EMA question forms are defined by asy...
Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors.
Journal of medical Internet research
May 8, 2019
BACKGROUND: Suicide is a great public health challenge. Two hundred million people attempt suicide in China annually. Existing suicide prevention programs require the help-seeking initiative of suicidal individuals, but many of them have a low motiva...
A randomized controlled trial of suicide prevention training for primary care providers: a study protocol.
BMC medical education
Feb 14, 2019
BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is the 10th leading cause of death overall and the second leading cause of death among adolescents and young adults (15-34 years old). Research shows 80% o...
Machine learning in suicide science: Applications and ethics.
Behavioral sciences & the law
Jan 4, 2019
For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has recently emerged as a promising tool for advancing suicide science, particularly in the domain of suicide prediction. The present review provides an ...
Toward Automatic Risk Assessment to Support Suicide Prevention.
Crisis
Nov 26, 2018
Suicide has been considered an important public health issue for years and is one of the main causes of death worldwide. Despite prevention strategies being applied, the rate of suicide has not changed substantially over the past decades. Suicide ri...
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