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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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| Publicado no: | Transl Psychiatry |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | 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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