ArticleSuicide & life-threatening behavior2022
Validating a predictive algorithm for suicide risk with Alaska Native populations.
Article in Suicide & life-threatening behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 10 citations in OpenAlex.
- Artificial intelligence/machine learning in Alaska Native healthcare systems: symposium perspectives.International journal of circumpolar health · 2026Article
- Validation of a self-harm prediction model in Black youth seeking outpatient mental health care.American journal of epidemiology · 2026Article
- Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention.The annals of applied statistics · 2026Article
- Evaluating model generalizability for suicide attempt risk prediction: traditional machine vs deep learning.Npj mental health research · 2026Article
- Are you worried someone in your household is at risk of suicide? Piloting ways to acceptably and feasibly increase safe firearm storage in rural Alaska.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026Article
- Review
- Developing a suicide risk model for use in the Indian Health Service.Npj mental health research · 2024Article
- Performance of Machine Learning Suicide Risk Models in an American Indian Population.JAMA network open · 2024Article
- Indigenous data governance approaches applied in research using routinely collected health data: a scoping review.NPJ digital medicine · 2024Article
- Comorbidity of anxiety/affective, conduct/antisocial, attention deficit, and alcohol use disorders with suicidal behaviors in an American Indian community sample of adults and adolescents.Journal of psychiatric research · 2023Article
- Trauma, historical trauma, PTSD and suicide in an American Indian community sample.Journal of psychiatric research · 2022Article
- Predicting suicide death after emergency department visits with mental health or self-harm diagnoses.General hospital psychiatryArticle
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
introductionThe American Indian/Alaska Native (AI/AN) suicide rate in Alaska is twice the state rate and four times the U.S. rate. Healthcare systems need innovative methods of suicide risk detection. The Mental Health Research Network (MHRN) developed suicide risk prediction algorithms in a general U.S. PATIENT POPULATION:
methodsWe applied MHRN predictors and regression coefficients to electronic health records of AI/AN patients aged ≥13 years with behavioral health diagnoses and primary care visits between October 1, 2016, and March 30, 2018. Logistic regression assessed model accuracy for predicting and stratifying risk for suicide attempt within 90 days after a visit. We compared expected to observed risk and assessed model performance characteristics.
results10,864 patients made 47,413 primary care visits. Suicide attempt occurred after 589 (1.2%) visits. Visits in the top 5% of predicted risk accounted for 40% of actual attempts. Among visits in the top 0.5% of predicted risk, 25.1% were followed by suicide attempt. The best fitting model had an AUC of 0.826 (95% CI: 0.809-0.843).
conclusionsThe MHRN model accurately predicted suicide attempts among AI/AN patients. Future work should develop clinical and operational guidance for effective implementation of the model with this population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.