Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations

16 references·16 citing·42 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

2009Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement83,813 cited
2009Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.44,857 cited
2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement37,549 cited
2016Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.3,773 cited
2005Suicide Prevention Strategies2,850 cited
2017Suicide Rates After Discharge From Psychiatric Facilities650 cited
2016Increase in Suicide in the United States, 1999-2014.580 cited
2017Predicting Risk of Suicide Attempts Over Time Through Machine Learning571 cited
2014The neurobiology of suicide549 cited
2004Medical Illness and the Risk of Suicide in the Elderly542 cited
2018Natural Language Processing of Social Media as Screening for Suicide Risk505 cited
2014Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers447 cited
2015Detecting suicidality on Twitter439 cited
2017Suicide Prevention in an Emergency Department Population418 cited
2015Suicide and Suicidal Attempts in the United States: Costs and Policy Implications

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

412 cited

2015Single-Item Measurement of Suicidal Behaviors: Validity and Consequences of Misclassification361 cited

Cited by

2024Machine learning and the prediction of suicide in psychiatric populations: a systematic review136 cited
2022An explainable predictive model for suicide attempt risk using an ensemble learning and Shapley Additive Explanations (SHAP) approach124 cited
2023Beyond human expertise: the promise and limitations of ChatGPT in suicide risk assessment116 cited
2022Artificial intelligence and suicide prevention: A systematic review114 cited
2023Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review92 cited
2022The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review85 cited
2023Ethical considerations for the use of artificial intelligence in medical decision-making capacity assessments82 cited
2021A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis77 cited
2025Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses74 cited
2022Suicidal behaviour prediction models using machine learning techniques: A systematic review74 cited
2021Machine learning for suicidal ideation identification: A systematic literature review67 cited
2024Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies63 cited
2022Linguistic features of suicidal thoughts and behaviors: A systematic review62 cited
2022An Artificial Intelligence-Based Reactive Health Care System for Emotion Detections61 cited
2022Boamente: A Natural Language Processing-Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation50 cited
2021Exploring the experiences of mental health professionals engaged in the adoption of mobile health technology in Irish mental health services25 cited