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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Detalles Bibliográficos
Autores principales: Ting, Ming Hwa, Chu, Chi Meng, Zeng, Gerald, Li, Dongdong, Chng, Grace S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Articles
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210571/
https://www.ncbi.nlm.nih.gov/pubmed/30473627
http://dx.doi.org/10.1177/1468017317743137

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