TY  - JOUR
PY  - 2019//
TI  - Using decision tree algorithms to screen individuals at risk of entry into sexual recidivism
JO  - Journal of criminal justice
A1  - Lussier, Patrick
A1  - Deslauriers-Varin, Nadine
A1  - Collin-Santerre, Justine
A1  - Bélanger, Roxane
SP  - 12
EP  - 24
VL  - 63
IS  - 
N2  - <p> Highlights    • Decision-tree algorithms (DTA) can be used to examine the risk profiles of convicted offenders.    • DTA highlight the importance of the offender's age at assessment as key risk factor.    • DTA findings suggest that risk factors of sexual recidivism vary across age-groups.    • DTA provide comparable predictive value compared to that based on logistic regression. </p>  <p>Language: en</p>
LA  - en
SN  - 0047-2352
UR  - http://dx.doi.org/10.1016/j.jcrimjus.2019.05.003
ID  - ref1
ER  -