AIMC Topic: Suicide Prevention
Clear Filters Showing 51 to 56 of 56 articles
AI enabled suicide prediction tools: a qualitative narrative review.
BMJ health & care informatics
Oct 1, 2020
Suicide poses a significant health burden worldwide. In many cases, people at risk of suicide do not engage with their doctor or community due to concerns about stigmatisation and forced medical treatment; worse still, people with mental illness (wh...
Can machine-learning methods really help predict suicide?
Current opinion in psychiatry
Jul 1, 2020
PURPOSE OF REVIEW: In recent years there has been interest in the use of machine learning in suicide research in reaction to the failure of traditional statistical methods to produce clinically useful models of future suicide. The current review summ...
Leveraging Digital Health and Machine Learning Toward Reducing Suicide-From Panacea to Practical Tool.
JAMA psychiatry
Oct 1, 2019
Text Classification to Inform Suicide Risk Assessment in Electronic Health Records.
Studies in health technology and informatics
Aug 21, 2019
Assessing a patient's risk of an impending suicide attempt has been hampered by limited information about dynamic factors that change rapidly in the days leading up to an attempt. The storage of patient data in electronic health records (EHRs) has fa...
AI opens new frontier for suicide prevention.
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
Jan 29, 2018
Suicide Risk Assessment in Hospitals: An Expert System-Based Triage Tool.
The Journal of clinical psychiatry
Jul 1, 2016
BACKGROUND: The November 2010 Joint Commission Sentinel Event Alert on the prevention of suicides in medical/surgical units and the emergency department (ED) mandates screening every patient treated as an outpatient or admitted to the hospital for su...
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