ArticleFrontiers in psychiatry2021
Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions.
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Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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28citing papers in PubMed, 1 pooled it
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning and the prediction of suicide in psychiatric populations: a systematic review.Translational psychiatry · 2024Pooled it
- Cognition-Modulated EEG Signatures and Clinical Features in Major Depressive Disorder: A Machine Learning-Based Exploratory Study.Alpha psychiatry · 2026Article
- Comparing patterns of recent mental health service use for predicting suicidal events following emergency department mental health visits in the United States: A national cohort study.Social psychiatry and psychiatric epidemiology · 2026Article
- Predicting and differentiating opioid and non-opioid drug poisonings using health records data.Journal of substance use and addiction treatment · 2026Article
- Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study.JMIR medical informatics · 2026Article
- Machine Learning Model for Predicting Suicide Risks Among Patients With Posttraumatic Stress Disorder Who Received Opioids.Depression and anxiety · 2026Article
- Predicting imminent suicide risk in a crisis hotline chat using machine learning.Scientific reports · 2025Article
- Prediction of Adolescent Suicide Attempt by Integrating Clinical, Neurocognitive and Geocoded Neighborhood Environment Data.Schizophrenia bulletin · 2025Article
- Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach.Epidemiology and psychiatric sciences · 2025Article
- Multimodal Machine Learning Prediction of 12-Month Suicide Attempts in Bipolar Disorder.Bipolar disorders · 2025Article
- Considerations and Challenges When Using Clinical and Vital Record Review for Suicide Research.Journal of patient safety · 2025Article
- An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study.JMIR public health and surveillance · 2025Article
- Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study.JMIR medical informatics · 2025Article
- Examining suicide risk among people with schizophrenia, focusing on the role of anosognosia and the ethical considerations for future research directions.Frontiers in psychiatry · 2025Article
- Predicting suicidality in people living with HIV in Uganda: a machine learning approach.Frontiers in psychiatry · 2025Article
- Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models.BMC psychiatry · 2024Article
- Gendered Patterns in Manifest and Latent Mental Health Indicators Among Suicide Decedents: 2003-2020 National Violent Death Reporting System (NVDRS).American journal of public health · 2024Article
- Do early-life circumstances predict late-life suicidal ideation? Evidence from SHARE data using machine learning.Frontiers in psychiatry · 2024Article
- Predicting risk of suicidal behavior from insurance claims data vs. linked data from insurance claims and electronic health records.Pharmacoepidemiology and drug safety · 2024Article
- Emotional regulation and suicidal ideation-Mediating roles of perceived social support and avoidant coping.Frontiers in psychology · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Edwin D BoudreauxDepartments of Emergency Medicine, Psychiatric, and Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.
Elke RundensteinerData Science Program, Computer Science Department, Worcester Polytechnic Institute, Worcester, MA, United States.
Feifan LiuDepartment of Population and Quantitative Health Sciences and Radiology, University of Massachusetts Medical School, Worcester, MA, United States.
Bo WangDepartments of Population and Quantitative Health Sciences and Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, United States.
Celine LarkinDepartment of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, United States.
Emmanuel AguComputer Science Department, Worcester Polytechnic Institute, Worcester, MA, United States.
Samiran GhoshDepartment of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, MI, United States.
Joshua SemeterDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, United States.
Gregory SimonKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.
Rachel E Davis-MartinDepartments of Emergency Medicine, Family Medicine and Community Health, University of Massachusetts Medical School, Worcester, MA, United States.
Funding
University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0MSSRI's and SuicidalityU19MH092201 · NIMH · KAISER FOUNDATION RESEARCH INSTITUTE · PI SIMON, GREGORY E. · 2010 to 2018
$19.5MEvaluating opioids and suicide prevention in health care settings through the System of SafetyR01MH112138 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BOUDREAUX, EDWIN D, KIEFE, CATARINA I. · 2016 to 2020
$6.4MNCATS NIH HHS UL1 TR001453NIMH NIH HHS R01 MH112138NIMH NIH HHS U19 MH092201
Abstract
PubMed holds no abstract for this paper.
Indexed as
machine learningmental healthneural network analysispredictive analyticssuicide prevention
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Registered trials
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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.