Citation

Liu YY, Hu JM, Yang M, Li XS. Fa Yi Xue Za Zhi 2013; 29(3): 216-221.

Affiliation

Department of Health Statistics, School of Public Health, Sichuan University, Chengdu 610041, China.

Copyright

(Copyright © 2013, Si fa bu Si fa jian ding ke xue ji shu yan jiu suo)

DOI

unavailable

PMID

24303769

Abstract

It is an urgent global problem how to improve the violence risk assessment. As a necessary part of risk assessment, statistical methods have remarkable impacts and effects. In this study, the predicted methods in violence risk assessment from the point of statistics are reviewed. The application of Logistic regression as the sample of multivariate statistical model, decision tree model as the sample of data mining technique, and neural networks model as the sample of artificial intelligence technology are all reviewed. This study provides data in order to contribute the further research of violence risk assessment.

Language: zh