Prediction of Suicidal Ideation in Children and Adolescents Using Machine Learning and Deep Learning Algorithm: A Case Study in South Korea where Suicide is the Leading Cause of Death
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[1] Theyazn H. H. Aldhyani,et al. Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models , 2022, International journal of environmental research and public health.
[2] Tae-Young Pak,et al. Machine learning prediction of suicidal ideation, planning, and attempt among Korean adults: A population-based study , 2022, SSM - population health.
[3] H. Byeon. Prediction of adolescent suicidal ideation after the COVID-19 pandemic: A nationwide survey of a representative sample of Korea , 2022, Frontiers in Pediatrics.
[4] M. Voracek,et al. Association of Logic’s hip hop song “1-800-273-8255” with Lifeline calls and suicides in the United States: interrupted time series analysis , 2021, BMJ.
[5] S. Galea,et al. Suicide prediction among men and women with depression: A population-based study. , 2021, Journal of psychiatric research.
[6] Kounseok Lee,et al. Detecting suicidal risk using MMPI-2 based on machine learning algorithm , 2021, Scientific Reports.
[7] N. Jacobson,et al. Predicting acute suicidal ideation on Instagram using ensemble machine learning models , 2021, Internet interventions.
[8] Theyazn H. H. Aldhyani,et al. Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets , 2021, Applied bionics and biomechanics.
[9] Meera Viswavandya,et al. ANALYSIS AND COMPARISON OF MACHINE LEARNING APPROACHES FOR TRANSMISSION LINE FAULT PREDICTION IN POWER SYSTEMS , 2021 .
[10] Margaret M. Brown,et al. Suicidal Ideation and Behaviors Among High School Students — Youth Risk Behavior Survey, United States, 2019 , 2020, MMWR supplements.
[11] Z. Kaminsky,et al. A machine learning approach predicts future risk to suicidal ideation from social media data , 2020, npj Digital Medicine.
[12] S. Nayak,et al. Suicidal ideation prediction in twitter data using machine learning techniques , 2020 .
[13] S. Seo. Low fertility trend in the Republic of Korea and the problems of its family and demographic policy implementation , 2019, Population and Economics.
[14] Kwang Gi Kim,et al. Prediction models for high risk of suicide in Korean adolescents using machine learning techniques , 2019, PloS one.
[15] Ninon Burgos,et al. Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation , 2019, Medical Image Anal..
[16] J. Bilsen. Suicide and Youth: Risk Factors , 2018, Front. Psychiatry.
[17] Hyeongrae Lee,et al. Use of a Machine Learning Algorithm to Predict Individuals with Suicide Ideation in the General Population , 2018, Psychiatry investigation.
[18] Hyun-Young Shin,et al. Cause-of-death statistics in 2018 in the Republic of Korea , 2018, Journal of the Korean Medical Association.
[19] Soo Beom Choi,et al. Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea. , 2018, Journal of affective disorders.
[20] K. Yun,et al. Classification of Suicide Attempts through a Machine Learning Algorithm Based on Multiple Systemic Psychiatric Scales , 2017, Front. Psychiatry.
[21] Hongxia Yang,et al. A Hybrid Framework for Text Modeling with Convolutional RNN , 2017, KDD.
[22] Benjamin Oosterhoff,et al. Prospective Identification of Adolescent Suicide Ideation Using Classification Tree Analysis: Models for Community-Based Screening , 2017, Journal of consulting and clinical psychology.
[23] B. Mwangi,et al. Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach. , 2016, Journal of affective disorders.
[24] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[25] Shie Mannor,et al. Robust Logistic Regression and Classification , 2014, NIPS.
[26] D. Shaffer,et al. Characteristics of suicidal ideation that predict the transition to future suicide attempts in adolescents. , 2014, Journal of child psychology and psychiatry, and allied disciplines.
[27] Christine Stewart,et al. Health Care Contacts in the Year Before Suicide Death , 2014, Journal of General Internal Medicine.
[28] D. Klein,et al. Predicting future suicide attempts among depressed suicide ideators: a 10-year longitudinal study. , 2012, Journal of psychiatric research.
[29] L. Karlsson,et al. Adolescent Suicide: Epidemiology, Psychological Theories, Risk Factors, and Prevention , 2011 .
[30] David J. Spiegelhalter,et al. Machine Learning, Neural and Statistical Classification , 2009 .
[31] A. Apter,et al. Adolescent suicide , 2009, Current opinion in psychiatry.
[32] David R. Williams,et al. Cross-national prevalence and risk factors for suicidal ideation, plans and attempts , 2008, British Journal of Psychiatry.
[33] R. Kessler,et al. A risk index for 12-month suicide attempts in the National Comorbidity Survey Replication (NCS-R) , 2006, Psychological Medicine.
[34] L. Davidson,et al. The social context of adolescent suicide attempts: interactive effects of parent, peer, and school social relations. , 2006, Suicide & life-threatening behavior.
[35] D. Brent,et al. Adolescent suicide and suicidal behavior. , 2006, Journal of child psychology and psychiatry, and allied disciplines.
[36] J. Lönnqvist,et al. Completed suicide after a suicide attempt: a 37-year follow-up study. , 2004, The American journal of psychiatry.
[37] D. Wasserman,et al. Suicide in Children and Adolescents: Adolescent attempted suicide , 2003 .
[38] P. Yakimov,et al. CNN Design for Real-Time Traffic Sign Recognition , 2017 .
[39] M. Marttunen,et al. Child and Adolescent Suicide , 2003, Paediatric drugs.