Handbook of Violence Risk Assessment and Treatment: New Approaches for Mental Health Professionals

By Joel T. Andrade. 2009

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Interpretable classification models for recidivism prediction (2015, background): “There is a clear precedent for using such models in criminology (Steinhart 2006, Andrade 2009) where some have argued that a “decent transparent model that is actually used will outperform a sophisticated system that predicts better but sits on a shelf” (Ridgeway 2013). This discussion is captured n”
Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test (2015, background): “…some recent efforts to develop and use machine learning in domains such as credit scoring (Martens et al. 2007), crime prediction (Steinhart 2006; Andrade 2009; Ridgeway 2013), national defense (ABS Consulting 2002), marketing (Hauser et al. 2010; Verbeke et al. 2011; Wang et al. 2015), medical…”
Methods and Models for Interpretable Linear Classification (2014, background): “These domains include credit scoring [76], crime prediction [102, 2, 93], national defense [27], marketing [49, 114], medical diagnosis [106, 112], and scientific discovery [104, 36, 48].”
Gender Matters: An Introduction to the Special Issues on Women and Girls (2016, background): “…developmental pathways” into criminal careers and gender-specific explanations for offending have been the topic of relatively few studies (e.g., Chesney-Lind & Pasko, 2004; Moffit, Caspi, Rutter, & Silva, 2001; Moretti et al., 2011, 2014; Ryder et al., 2009; Silverthorn, Frick, & Reynolds, 2001).”
Supersparse Linear Integer Models for Interpretable Classification (2013, background): “These systems are widely used in our society: to assess the risk of medical outcomes in hospitals [3, 53, 25]; to predict the incidence of violent crimes [2, 64]; to gauge marine safety for military vessels [16]; and to rate business schools [21].”
Handbook of violence risk assessment. (2010, background): “For a more in- depth discussion of these issues, see Vincent, Terry, and Maney (2009 ).”
A Bayesian Approach to Learning Scoring Systems (2015, background): “, 2011) to crime prediction (Ridgeway, 2013; Andrade, 2009), often a model can only be defensible if it is interpretable, and easy to use without a calculator (see Giraud-Carrier, 1998; Freitas, Wieser, and Apweiler, 2010).”