Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice
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DOI: 10.1287/inte.2018.0957
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References listed on IDEAS
- Jiaming Zeng & Berk Ustun & Cynthia Rudin, 2017. "Interpretable classification models for recidivism prediction," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 689-722, June.
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- Hoffman, Peter B., 1994. "Twenty years of operational use of a risk prediction instrument: The United States parole commission's salient factor score," Journal of Criminal Justice, Elsevier, vol. 22(6), pages 477-494.
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Cited by:
- Ramos Maqueda,Manuel & Chen,Daniel Li, 2021. "The Role of Justice in Development : The Data Revolution," Policy Research Working Paper Series 9720, The World Bank.
- Shany Azaria & Boaz Ronen & Noam Shamir, 2024. "Alleviating Court Congestion: The Case of the Jerusalem District Court," Interfaces, INFORMS, vol. 54(3), pages 267-281, May.
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Keywords
machine learning; sparse linear models; scoring systems; trust; transparency; interpretability; healthcare; criminal justice; recidivism;All these keywords.
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