Theory driven machine learning models for predicting symptoms of problematic pornography use and related psychological processes

被引：0
|
作者：
Oelker, Andreas [1 ,2 ]
Muller, Silke M. [1 ,2 ,3 ]
Brand, Matthias [1 ,2 ,3 ]
Antons, Stephanie [1 ,2 ,3 ]
机构：
[1] Univ Duisburg Essen, Dept Gen Psychol Cognit, Duisburg, Germany
[2] Univ Duisburg Essen, Ctr Behav Addict Res CeBAR, Duisburg, Germany
[3] Erwin L Hahn Inst Magnet Resonance Imaging, Essen, Germany
来源：
JOURNAL OF BEHAVIORAL ADDICTIONS | 2022年 / 11卷
关键词：
machine learning; pornography use; data exploration; pornography addiction; prediction;
D O I：
暂无
中图分类号：
R749 [精神病学];
学科分类号：
100205 ;
摘要：
S-8D3
引用
收藏
页码：238 / 238
页数：1
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