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References from AI Models for Suicide Risk Prediction in Adult Patients Receiving Mental Health Care Using Real-World Data: Retrospective Population-Based Study. Local targets link to admitted publications; unresolved targets remain external evidence.
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Risk factors for suicidal thoughts and behaviors: a meta-analysis of 50 years of research
10.1037/bul0000084 · External reference
Contacts with health services during the year prior to suicide death and prevalent conditions a nationwide study
10.1016/j.jad.2020.05.071 · External reference
Contact with primary and mental health care prior to suicide: a systematic review of the literature from 2000 to 2017
10.1177/1403494817746274 · External reference
Can routine primary care records help in detecting suicide risk? A population-based case-control study in Barcelona
10.1080/13811118.2021.1911894 · External reference
Suicidal ideation, self-harm and attempted suicide: results from the British psychiatric morbidity survey 2000
10.1016/j.eurpsy.2009.12.004 · External reference
The hypothesis of a continuum in suicidality: a discussion on its validity and practical implications
10.4081/mi.2012.e15 · External reference
Predicting suicide following self-harm: systematic review of risk factors and risk scales
10.1192/bjp.bp.115.170050 · External reference
Meta-analysis of longitudinal cohort studies of suicide risk assessment among psychiatric patients: heterogeneity in results and lack of improvement over time
10.1371/journal.pone.0156322 · External reference
Effectiveness of online and mobile telephone applications (‘apps’) for the self-management of suicidal ideation and self-harm: a systematic review and meta-analysis
10.1186/s12888-017-1458-0 · External reference
A systematic review of interventions to prevent suicidal behaviors and reduce suicidal ideation in older people
10.1017/s1041610217001430 · External reference
The effectiveness of suicide prevention delivered by GPs: a systematic review and meta-analysis
10.1016/j.jad.2016.12.035 · External reference
Accuracy of clinician predictions of future self‐harm: a systematic review and meta‐analysis of predictive studies
10.1111/sltb.12395 · External reference
Reconciling statistical and clinicians’ predictions of suicide risk
10.1176/appi.ps.202000214 · External reference
Predicting suicidal behavior from longitudinal electronic health records
10.1176/appi.ajp.2016.16010077 · External reference
Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
10.1001/jamapsychiatry.2014.1754 · External reference
Predicting suicide attempts and suicide deaths following outpatient visits using electronic health records
10.1176/appi.ajp.2018.17101167 · External reference
Predicting the risk of suicide by analyzing the text of clinical notes
10.1371/journal.pone.0085733 · External reference
10.1109/hicss.2015.382
10.1109/hicss.2015.382 · External reference
Deep learning in mental health outcome research: a scoping review
10.1038/s41398-020-0780-3 · External reference
A systematic review of validated methods for identifying suicide or suicidal ideation using administrative or claims data
10.1002/pds.2335 · External reference
The U.S. Food and Drug Administration’s Mini‐sentinel Program
10.1002/pds.3230 · External reference
10.4324/9780203403020
10.4324/9780203403020 · External reference
Predicting risk of suicide attempts over time through machine learning
10.1177/2167702617691560 · External reference
The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: a systematic review
10.1016/j.jad.2018.11.073 · External reference
Developing a practical suicide risk prediction model for targeting high-risk patients in the Veterans health Administration
10.1002/mpr.1575 · External reference
Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records
10.1038/s41398-020-0684-2 · External reference
Early warning scores with and without artificial intelligence
10.1001/jamanetworkopen.2024.38986 · External reference
The impact of a machine learning early warning score on hospital mortality: a multicenter clinical intervention trial
10.1097/ccm.0000000000005492 · External reference
Automated identification of adults at risk for in-hospital clinical deterioration
10.1056/nejmsa2001090 · External reference
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Suicide risk assessment tools and prediction models: new evidence, methodological innovations, outdated criticisms
10.1136/bmjment-2024-300990 · External reference
Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies
10.1186/s12911-024-02524-0 · External reference
Machine learning and the prediction of suicide in psychiatric populations: a systematic review
10.1038/s41398-024-02852-9 · External reference
Translating promise into practice: a review of machine learning in suicide research and prevention
10.1016/s2215-0366(21)00254-6 · External reference
Oral glucocorticoids and risk of psychiatric and suicidal behaviour outcomes: population-based cohort study
10.1192/bjp.2025.128 · External reference
Insomnia as an independent predictor of suicide attempts: a nationwide population-based retrospective cohort study
10.1186/s12888-018-1702-2 · External reference
A 25-year retrospective of health IT infrastructure building: the example of the catalonia region
10.2196/58933 · External reference
Machine learning model development to retrospectively predict suicide attempts in the Millenium Cohort Study sample
10.1192/j.eurpsy.2025.335 · External reference
Performance of machine learning suicide risk models in an American Indian population
10.1001/jamanetworkopen.2024.39269 · External reference
The recent rise of suicide mortality in the United States
10.1146/annurev-publhealth-051920-123206 · External reference
Generalizability challenges of mortality risk prediction models: a retrospective analysis on a multi-center database
10.1371/journal.pdig.0000023 · External reference
Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
10.1016/s0140-6736(20)30925-9 · External reference
Safety planning-type interventions for suicide prevention: meta-analysis
10.1192/bjp.2021.50 · External reference
Effectiveness of brief interventions and contacts after suicide attempt: a systematic review and meta-analysis
10.1016/j.eclinm.2026.103824 · External reference
The Catalonia Suicide Risk Code: a secondary prevention program for individuals at risk of suicide
10.1016/j.jad.2020.03.009 · External reference
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