The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors
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Title
The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors
Authors
Keywords
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Journal
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY
Volume -, Issue -, Pages 000486741986442
Publisher
SAGE Publications
Online
2019-07-26
DOI
10.1177/0004867419864428
References
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Note: Only part of the references are listed.- Artificial Intelligence in Medical Practice: The Question to the Answer?
- (2018) D. Douglas Miller et al. AMERICAN JOURNAL OF MEDICINE
- Predicting suicidal ideation in primary care: An approach to identify easily assessable key variables
- (2018) Pascal Jordan et al. GENERAL HOSPITAL PSYCHIATRY
- Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea
- (2018) Soo Beom Choi et al. JOURNAL OF AFFECTIVE DISORDERS
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- (2018) Colin G. Walsh et al. JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY
- Detecting Suicidal Ideation on Forums: Proof-of-Concept Study
- (2018) Ahmet Emre Aladağ et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Suicidal Thoughts and Behaviors Among First-Year College Students: Results From the WMH-ICS Project
- (2018) Philippe Mortier et al. JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY
- Extracting psychiatric stressors for suicide from social media using deep learning
- (2018) Jingcheng Du et al. BMC Medical Informatics and Decision Making
- Potential use of text classification tools as signatures of suicidal behavior: A proof-of-concept study using Virginia Woolf’s personal writings
- (2018) Gabriela de Ávila Berni et al. PLoS One
- Use of a Machine Learning Algorithm to Predict Individuals with Suicide Ideation in the General Population
- (2018) Seunghyong Ryu et al. Psychiatry Investigation
- Tracking the Werther Effect on social media: Emotional responses to prominent suicide deaths on twitter and subsequent increases in suicide
- (2018) Robert A. Fahey et al. SOCIAL SCIENCE & MEDICINE
- Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach
- (2017) Nuwan C. Hettige et al. GENERAL HOSPITAL PSYCHIATRY
- Ecological Momentary Assessment in Behavioral Research: Addressing Technological and Human Participant Challenges
- (2017) Lora E Burke et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study
- (2017) Qijin Cheng et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Embodied Conversational Agents for the Detection and Prevention of Suicidal Behaviour: Current Applications and Open Challenges
- (2017) Juan Martínez-Miranda JOURNAL OF MEDICAL SYSTEMS
- A Therapy System for Post-Traumatic Stress Disorder Using a Virtual Agent and Virtual Storytelling to Reconstruct Traumatic Memories
- (2017) Myrthe L. Tielman et al. JOURNAL OF MEDICAL SYSTEMS
- Childhood trauma and suicide attempt: A meta-analysis of longitudinal studies from the last decade
- (2017) Cleonice Zatti et al. PSYCHIATRY RESEARCH
- Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.
- (2017) Joseph C. Franklin et al. PSYCHOLOGICAL BULLETIN
- Internet Searches for Suicide Following the Release of 13 Reasons Why
- (2017) John W. Ayers et al. JAMA Internal Medicine
- Suicide Attempt as a Risk Factor for Completed Suicide: Even More Lethal Than We Knew
- (2016) J. Michael Bostwick et al. AMERICAN JOURNAL OF PSYCHIATRY
- Snapchat Toxicology: Social Media and Suicide
- (2016) Neeraj Chhabra et al. ANNALS OF EMERGENCY MEDICINE
- Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid
- (2016) Benjamin L. Cook et al. Computational and Mathematical Methods in Medicine
- Association between completed suicide and environmental temperature in a Mexican population, using the Knowledge Discovery in Database approach
- (2016) Verónica Fernández-Arteaga et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Usability and acceptability assessment of an empathic virtual agent to prevent major depression
- (2016) A. Bresó et al. EXPERT SYSTEMS
- Data Mining of Web-Based Documents on Social Networking Sites That Included Suicide-Related Words Among Korean Adolescents
- (2016) Juyoung Song et al. JOURNAL OF ADOLESCENT HEALTH
- Computerized Adaptive Test vs. decision trees: Development of a support decision system to identify suicidal behavior
- (2016) D. Delgado-Gomez et al. JOURNAL OF AFFECTIVE DISORDERS
- Development and validation of a risk prediction algorithm for the recurrence of suicidal ideation among general population with low mood
- (2016) Y. Liu et al. JOURNAL OF AFFECTIVE DISORDERS
- Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach
- (2016) Ives Cavalcante Passos et al. JOURNAL OF AFFECTIVE DISORDERS
- Suicide Risk Assessment in Hospitals
- (2016) Isabelle Desjardins et al. JOURNAL OF CLINICAL PSYCHIATRY
- Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
- (2016) R C Kessler et al. MOLECULAR PSYCHIATRY
- Examining Accumulated Emotional Traits in Suicide Blogs With an Emotion Topic Model
- (2016) Fuji Ren et al. IEEE Journal of Biomedical and Health Informatics
- Smartphone-Based Conversational Agents and Responses to Questions About Mental Health, Interpersonal Violence, and Physical Health
- (2016) Adam S. Miner et al. JAMA Internal Medicine
- Improving Prediction of Suicide and Accidental Death After Discharge From General Hospitals With Natural Language Processing
- (2016) Thomas H. McCoy et al. JAMA Psychiatry
- We Feel: Mapping Emotion on Twitter
- (2015) Mark E. Larsen et al. IEEE Journal of Biomedical and Health Informatics
- Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers
- (2015) Ronald C. Kessler et al. JAMA Psychiatry
- The molecular bases of the suicidal brain
- (2014) Gustavo Turecki NATURE REVIEWS NEUROSCIENCE
- Predicting the Risk of Suicide by Analyzing the Text of Clinical Notes
- (2014) Chris Poulin et al. PLoS One
- The Burden Attributable to Mental and Substance Use Disorders as Risk Factors for Suicide: Findings from the Global Burden of Disease Study 2010
- (2014) Alize J. Ferrari et al. PLoS One
- Longitudinal risk profiling for suicidal thoughts and behaviours in a community cohort using decision trees
- (2012) Philip J. Batterham et al. JOURNAL OF AFFECTIVE DISORDERS
- A cross-sectional investigation of the suicidal spectrum: typologies of suicidality based on ambivalence about living and dying
- (2011) Stephen S. O'Connor et al. COMPREHENSIVE PSYCHIATRY
- The Scope of Nonsuicidal Self-Injury on YouTube
- (2011) S. P. Lewis et al. PEDIATRICS
- Response to a relational agent by hospital patients with depressive symptoms
- (2009) Timothy W. Bickmore et al. INTERACTING WITH COMPUTERS
- Classification Trees Distinguish Suicide Attempters in Major Psychiatric Disorders
- (2009) J. John Mann et al. JOURNAL OF CLINICAL PSYCHIATRY
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