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Using a data science approach to predict cocaine use frequency from depressive symptoms.
One or more keywords matched the following properties of Using a data science approach to predict cocaine use frequency from depressive symptoms.
PropertyValue
has major subject area list Cocaine-Related Disorders; Data Science; Depression
has minor subject area list Adult; Anhedonia; Data Interpretation, Statistical; Female; Humans; Machine Learning; Male; Middle Aged; Models, Theoretical; Predictive Value of Tests; Psychiatric Status Rating Scales
information resource reference Using a data science approach to predict cocaine use frequency from depressive symptoms. Drug Alcohol Depend. 2019 01 01; 194:310-317.
label Using a data science approach to predict cocaine use frequency from depressive symptoms.
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