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Using a data science approach to predict cocaine use frequency from depressive symptoms.

07:00 EST 15th November 2018 | BioPortfolio

Summary of "Using a data science approach to predict cocaine use frequency from depressive symptoms."

Depressive symptoms may contribute to cocaine use. However, tests of the relationship between depression and severity of cocaine use have produced mixed results, possibly due to heterogeneity in individual symptoms of depression. Our goal was to establish which symptoms of depression are most strongly related to frequency of cocaine use (one aspect of severity) in a large sample of current cocaine users. We utilized generalized additive modeling to provide data-driven exploration of the relationships between depressive symptoms and cocaine use, including examination of non-linearity. We hypothesized that symptoms related to anhedonia would demonstrate the strongest relationship to cocaine use.

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This article was published in the following journal.

Name: Drug and alcohol dependence
ISSN: 1879-0046
Pages: 310-317

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SMOKING of COCAINE.

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