Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning

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Items 101–200 of 264

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6. Machine Learning Analysis of Handgun Transactions to Predict Firearm Suicide Risk
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8. Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2 (SCI-2) Short Form
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14. Understanding Patterns of Adolescent Suicide Ideation: Implications for Risk Assessment
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17. Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation
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18. Harnessing the Power of Interdisciplinary Research with Psychology-Informed Cyberbullying Detection Models
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21. Advances in Research on Adolescent Suicide and a High Priority Agenda for Future Research
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28. Prediction of Suicide-Related Events by Analyzing Electronic Medical Records from PTSD Patients with Bipolar Disorder
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38. Adolescent, Parent, and Provider Perceptions of a Predictive Algorithm to Identify Adolescent Suicide Risk in Primary Care
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40. A Stakeholder-Informed Ethical Framework to Guide Implementation of Suicide Risk Prediction Models Derived from Electronic Health Records
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42. The Many Functions of Quantitative Modeling
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44. The Role of Despair in Predicting Self-Destructive Behaviors
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45. Screening and Risk Algorithms for Detecting Pediatric Suicide Risk in the Emergency Department
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47. Psikiyatride Makine Öğrenmesi Yöntemlerinin Kullanımı
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51. Nested trees for longitudinal classification
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67. Prediction of Repeated Self-Harm in Six Months: Comparison of Traditional Psychometrics With Random Forest Algorithm
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69. Reprint of: Ex-ante expected changes in ESG and future stock returns based on machine learning
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