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Machine learning for suicide risk prediction in children and adolescents with electronic health records
Accurate prediction of suicide risk among children and adolescents within an actionable time frame is an important but challenging task. Very few studies have comprehensively considered the clinical risk factors available to produce quantifiable risk scores for estimation of short- and long-term sui...
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| Опубликовано в: : | Transl Psychiatry |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7693189/ https://ncbi.nlm.nih.gov/pubmed/33243979 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41398-020-01100-0 |
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