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Skip search results from other journals and go to results- 4 JMIR Mental Health
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Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
Miotto and colleagues [20] created a deep ANN that received hospital diagnosis codes and created a “patient representation” vector of 500 features. This vector was fed to a random forest to predict 78 different diseases, including mental disorders such as schizophrenia. This model generated an accuracy of more than 90% for (more than) 76,000 patients, but suicide risk was not part of the study.
JMIR Ment Health 2018;5(2):e10144
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Self-Harm, Suicidal Behaviours, and Cyberbullying in Children and Young People: Systematic Review
J Med Internet Res 2018;20(4):e129
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Gamification and Adherence to Web-Based Mental Health Interventions: A Systematic Review
JMIR Ment Health 2016;3(3):e39
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