Mental health stigma and online social support for bipolar disorder: what can we learn from Twitter?

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Charlotte Walker explores an online ethnography study that explores how Twitter users discuss mental illness, particularly bipolar disorder, and in what context; focusing specifically on the areas of stigma and social support.

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Predicting suicide attempts in adolescents: machine learning is powerful, but don’t forget Bayes’ rule

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Derek de Beurs explores a recent study that uses longitudinal clinical data and machine learning to predict suicide attempts in adolescents.

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Can a machine learning approach help us predict what specific treatments work best for individuals with depression?

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Marcus Munafo explores a recent study that uses a machine learning approach across two trials (STARD*D and CO-MED) to try and predict treatment outcomes (primarily focusing on the antidepressant citalopram) for depression.

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