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Utility of machine learning approaches to identify behavioral markers for substance use disorders: Impulsivity dimensions as predictors of current cocaine dependence

机译：利用机器学习方法识别物质使用障碍的行为标记：冲动性维度作为当前可卡因依赖的预测因子

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Woo-Young eAhn; Divya eRamesh; Frederick G Moeller; Jasmin eVassileva;
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1. Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence [J] . Woo-Young Ahn, Divya Ramesh, Frederick Gerard Moeller, Frontiers in Psychiatry . 2016,第3期

机译：机器学习方法的效用，用于识别物质使用失调的行为标记：冲动性维度作为当前可卡因依赖的预测指标
2. Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence [J] . Ahn Woo-Young, Vassileva Jasmin Drug and alcohol dependence . 2016,第Null期

机译：机器学习识别鸦片和兴奋剂依赖性的特定于物质的行为标记
3. Are Trait Impulsivity and Exposure to Cannabis or Alcohol Associated With the Age of Trajectory of Cocaine Use? A Gender-Specific Dimensional Analysis in Humans With Cocaine Dependence Diagnosis [J] . Butelman Eduardo R., Chen Carina Y., Conybeare Rachel A., Experimental and clinical psychopharmacology . 2020,第3期

机译：是具有与可卡因使用轨迹的轨迹相关的大麻或酒精的特性冲动和暴露？可卡因依赖诊断的人类对性别特异性尺寸分析
4. Machine Learning-Based Approaches Identify a Key Physicochemical Property for Accurately Predicting Polyadenlylation Signals in Genomic Sequences [C] . HaiBo Cui, Jia Wang International conference on intelligent computing . 2013

机译：基于机器学习的方法可识别关键的理化性质，以准确预测基因组序列中的聚腺苷酸化信号
5. A correlational study examining treatment records for a relationship between those with a diagnosis of cocaine dependence and poly-substance dependence relapse rates who received psycho-educational and individual/group cognitive behavioral treatment for sixteen weeks. [D] . Phelps, Michael W. 2007

机译：相关研究检查了治疗记录，以诊断可卡因依赖和多物质依赖复发率之间的关系，这些人接受了心理教育和个人/团体认知行为治疗了16周。
6. Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence [O] . Woo-Young Ahn, Divya Ramesh, Frederick Gerard Moeller, 2016

机译：机器学习方法用于识别物质使用失调行为标志的实用程序：冲动维度作为当前可卡因依赖的预测指标
7. Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence [O] . Woo-Young Ahn, Divya Ramesh, Frederick Gerard Moeller, 2016

机译：利用机器学习方法识别物质使用障碍的行为标记：冲动性维度作为当前可卡因依赖性的预测因子

Utility of machine learning approaches to identify behavioral markers for substance use disorders: Impulsivity dimensions as predictors of current cocaine dependence

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