Abstract
This Symposium will highlight the utility of machine-learning predictive classification—with a causal discovery feature selection—for research on child and adolescent PTSD and suicide. These methods enable both reliable and accurate prediction and the discovery of causal processes related to the etiology of mental illnesses.
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