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Computational Psychiatry: A Primer Computational Psychiatry: A Primer by Peggy Series
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“An important aim for computational psychiatry is the development of computational assays that can be used to separate patients into subgroups, generate treatment recommendations, and make predictions for the outcome of those treatments. Reinforcement learning has been described as especially promising in this regard and has indeed shown potential for classification of depression from purely behavioral data without the need for (subjective) questionnaires.”
Peggy Series, Computational Psychiatry: A Primer