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Using a data science approach to predict cocaine use frequency from depressive symptoms.
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Using a data science approach to predict cocaine use frequency from depressive symptoms.
Using a data science approach to predict cocaine use frequency from depressive symptoms. Drug Alcohol Depend. 2019 01 01; 194:310-317.
View in:
PubMed
subject areas
Adult
Anhedonia
Cocaine-Related Disorders
Data Interpretation, Statistical
Depression
Female
Humans
Machine Learning
Male
Middle Aged
Models, Theoretical
Predictive Value of Tests
Psychiatric Status Rating Scales
authors with profiles
Margaret Wardle