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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210571/ https://www.ncbi.nlm.nih.gov/pubmed/30473627 http://dx.doi.org/10.1177/1468017317743137 |