Associations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans
暂无分享,去创建一个
D. Hoaglin | R. Melamed | K. Tucker | J. Tsai | Hongfeng Yu | J. Reisman | Avijit Mitra | Weisong Liu | Zhichao Yang | R. Pradhan | Avijit Mitra | Kun Chen
[1] Hadi Kharrazi,et al. Impact of Social Needs in Electronic Health Records and Claims on Health Care Utilization and Costs Risk-Adjustment Models Within Medicaid Population. , 2022, Population health management.
[2] Philip D. Harvey,et al. A Genome-Wide Association Study of Suicide Attempts in the Million Veterans Program Identifies Evidence of Pan-Ancestry and Ancestry-Specific Risk Loci , 2022, Molecular Psychiatry.
[3] R. Kerns,et al. Risk Factors Associated With Nonfatal Opioid Overdose Leading to Intensive Care Unit Admission: A Cross-sectional Study , 2021, JMIR medical informatics.
[4] Melonie P. Heron. Deaths: Leading Causes for 2019. , 2021, National vital statistics reports : from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
[5] M. Dichter,et al. Adverse social factors and all-cause mortality among male and female patients receiving care in the veterans health administration. , 2020, Preventive medicine.
[6] Olga V. Demler,et al. Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System , 2020, Frontiers in Psychiatry.
[7] K. Komro,et al. Effects of increased minimum wages by unemployment rate on suicide in the USA , 2020, Journal of Epidemiology & Community Health.
[8] E. Juszczak,et al. Application of the matched nested case-control design to the secondary analysis of trial data , 2019, BMC Medical Research Methodology.
[9] Jaewoo Kang,et al. BioBERT: a pre-trained biomedical language representation model for biomedical text mining , 2019, Bioinform..
[10] M. Dichter,et al. Social Determinants and Military Veterans’ Suicide Ideation and Attempt: a Cross-sectional Analysis of Electronic Health Record Data , 2019, Journal of General Internal Medicine.
[11] Fei Li,et al. Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study , 2019, JMIR medical informatics.
[12] Cosmin A Bejan,et al. Identifying Patients with Significant Problems Related to Social Determinants of Health with Natural Language Processing , 2019, MedInfo.
[13] Omer Levy,et al. RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.
[14] Wei-Hung Weng,et al. Publicly Available Clinical BERT Embeddings , 2019, Proceedings of the 2nd Clinical Natural Language Processing Workshop.
[15] T. Simon,et al. Vital Signs: Trends in State Suicide Rates — United States, 1999–2016 and Circumstances Contributing to Suicide — 27 States, 2015 , 2018, MMWR. Morbidity and mortality weekly report.
[16] J. Ribeiro,et al. Depression and hopelessness as risk factors for suicide ideation, attempts and death: meta-analysis of longitudinal studies , 2018, British Journal of Psychiatry.
[17] S. Bakken,et al. A Data Quality Assessment Guideline for Electronic Health Record Data Reuse , 2017, EGEMS.
[18] Christine Y. Lu,et al. Major Physical Health Conditions and Risk of Suicide. , 2017, American journal of preventive medicine.
[19] Matthew K Nock,et al. Predicting Suicidal Behavior From Longitudinal Electronic Health Records. , 2017, The American journal of psychiatry.
[20] D. Shepard,et al. Suicide and Suicidal Attempts in the United States: Costs and Policy Implications , 2015, Suicide & life-threatening behavior.
[21] D. Gunnell,et al. Economic recession and suicidal behaviour: Possible mechanisms and ameliorating factors , 2015, The International journal of social psychiatry.
[22] Lauren M. Denneson,et al. Correlates of Suicide Among Veterans Treated in Primary Care: Case–Control Study of a Nationally Representative Sample , 2014, Journal of General Internal Medicine.
[23] J. Rumsfeld,et al. Insights from advanced analytics at the Veterans Health Administration. , 2014, Health affairs.
[24] Heather Walters,et al. Predictors of suicide in patient charts among patients with depression in the Veterans Health Administration health system: importance of prescription drug and alcohol abuse. , 2012, The Journal of clinical psychiatry.
[25] Mark Olfson,et al. A systematic review of validated methods for identifying suicide or suicidal ideation using administrative or claims data , 2012, Pharmacoepidemiology and drug safety.
[26] Bing Li,et al. Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. , 2011, American journal of epidemiology.
[27] B. Hicken,et al. A model for home-based psychology from the veterans health administration. , 2010 .
[28] Matthew K Nock,et al. Suicide and suicidal behavior. , 2008, Epidemiologic reviews.
[29] A. Oliver. Public-sector health-care reforms that work? A case study of the US Veterans Health Administration , 2008, The Lancet.
[30] S. Pocock,et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies , 2007, The Lancet.
[31] C. Mann,et al. Observational research methods. Research design II: cohort, cross sectional, and case-control studies , 2003, Emergency medicine journal : EMJ.
[32] D. Chapman,et al. Childhood abuse, household dysfunction, and the risk of attempted suicide throughout the life span: findings from the Adverse Childhood Experiences Study. , 2001, JAMA.
[33] A. Kposowa. Unemployment and suicide: a cohort analysis of social factors predicting suicide in the US National Longitudinal Mortality Study , 2001, Psychological Medicine.
[34] W. W. Muir,et al. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1980 .