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Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
BACKGROUND: The Manning Cost–Benefit Tool (MCBT) was developed to assist criminal justice policymakers, policing organisations and crime prevention practitioners to assess the benefits of different interventions for reducing crime and to select those strategies that represent the greatest economic r...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404784/ https://www.ncbi.nlm.nih.gov/pubmed/30931232 http://dx.doi.org/10.1186/s40163-018-0086-4 |