SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Suicidal behaviour prediction models using machine learning techniques: A systematic review
16 references·0 citing·44 second hop
Suicidal behaviour prediction models using machine learning techniques: A systematic review (2022)Suicidal behaviour prediction models usin…Machine Learning in Mental Health (2020)Machine Learning in Mental He…Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations (2020)Artificial Intelligence and S…A machine learning approach predicts future risk to suicidal ideation from social media data (2020)A machine learning approach p…Suicide prediction models: a critical review of recent research with recommendations for the way forward (2019)Suicide prediction models: a …Suicide and suicide risk (2019)Suicide and suicide riskPredicting suicide attempts in adolescents with longitudinal clinical data and machine learning (2018)Predicting suicide attempts i…Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records (2018)Predicting Suicide Attempts a…Predicting Risk of Suicide Attempts Over Time Through Machine Learning (2017)Predicting Risk of Suicide At…Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study (2017)Optimal database combinations…Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration (2017)Developing a practical suicid…Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. (2016)Risk factors for suicidal tho…Predicting Suicidal Behavior From Longitudinal Electronic Health Records (2016)Predicting Suicidal Behavior …Self-injurious thoughts and behaviors as risk factors for future suicide ideation, attempts, and death: a meta-analysis of longitudinal studies (2015)Self-injurious thoughts and b…Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Preferred reporting items for…The psychology of suicidal behaviour (2014)The psychology of suicidal be…Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred Reporting Items for…Assessment of suicidal intention: The Scale for Suicide Ideation. (1979)Suicide and Suicidal Behavior (2008)The interpersonal theory of suicide. (2010)Examination of real-time fluctuations in suicidal ideation and its risk factors: Results from two ecological momentary assessment studies. (2017)Depression and hopelessness as risk factors for suicide ideation, attempts and death: meta-analysis of longitudinal studies (2018)Suicide: A Study in Sociology. (1951)Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC) (2003)The neurobiology of suicide (2014)The Lancet Psychiatry Commission on psychological treatments research in tomorrow's science (2018)The Measurement of Observer Agreement for Categorical Data (1977)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The Structure of Scientific Revolutions (1963)Measuring inconsistency in meta-analyses (2003)The interpersonal theory of suicide: A systematic review and meta-analysis of a decade of cross-national research. (2017)The integrated motivational–volitional model of suicidal behaviour (2018)Introduction to Meta‐Analysis (2021)Handbook of Religion and Health (2023)Area Deprivation and Widening Inequalities in US Mortality, 1969–1998 (2003)Prediction Models for Suicide Attempts and Deaths (2019)Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2020)Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.1. The Cochrane Collaboration (2008)A 24-step guide on how to design, conduct, and successfully publish a systematic review and meta-analysis in medical research (2019)The art of crafting a systematic literature review in entrepreneurship research (2020)What are the barriers, facilitators and interventions targeting help-seeking behaviours for common mental health problems in adolescents? A systematic review (2020)The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review (2010)The Columbia–Suicide Severity Rating Scale: Initial Validity and Internal Consistency Findings From Three Multisite Studies With Adolescents and Adults (2011)Understanding Why Patients May Not Report Suicidal Ideation at a Health Care Visit Prior to a Suicide Attempt: A Qualitative Study (2018)Variation in patterns of health care before suicide: A population case-control study (2019)Acceptance and Commitment Therapy: An Experiential Approach to Behavior Change (1999)A Brain-Centric Model of Suicidal Behavior (2020)Conséquences psychopathologiques du confinement (2020)Risk factors for self-harm in prison: a systematic review and meta-analysis (2020)A Global Measure of Perceived Stress (1983)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Ecological momentary interventions for mental health: A scoping review (2021)Conversational Artificial Intelligence in Psychotherapy: A New Therapeutic Tool or Agent? (2022)Designing Human-centered AI for Mental Health: Developing Clinically Relevant Applications for Online CBT Treatment (2022)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (2001)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)
this work references cited by second hop

References

  • 2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement63,979 cited
  • 2015Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement26,189 cited
  • 2016Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.3,773 cited
  • 2017Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study2,104 cited
  • 2015Self-injurious thoughts and behaviors as risk factors for future suicide ideation, attempts, and death: a meta-analysis of longitudinal studies1,341 cited
  • 2014The psychology of suicidal behaviour1,192 cited
  • 2019Suicide and suicide risk1,069 cited
  • 2017Predicting Risk of Suicide Attempts Over Time Through Machine Learning571 cited
  • 2020Machine Learning in Mental Health406 cited
  • 2018Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records399 cited
  • 2016Predicting Suicidal Behavior From Longitudinal Electronic Health Records339 cited
  • 2018Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning263 cited
  • 2019Suicide prediction models: a critical review of recent research with recommendations for the way forward234 cited
  • 2020Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

225 cited
  • 2017Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration209 cited
  • 2020A machine learning approach predicts future risk to suicidal ideation from social media data208 cited
  • Cited by

    No citing works inside the corpus for this window.