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Predicting recidivism among youth offenders: Augmenting professional judgement with machine learning algorithms
SUMMARY: Offender rehabilitation seeks to minimise recidivism. Using their experience and actuarial-type risk assessment tools, probation officers in Singapore make recommendations on the sentencing outcomes so as to achieve this objective. However, it is difficult for them to maximise the utility o...
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| Yayımlandı: | J Soc Work (Lond) |
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| Asıl Yazarlar: | , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
SAGE Publications
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6210571/ https://ncbi.nlm.nih.gov/pubmed/30473627 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1468017317743137 |
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