Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
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Researchers have created a machine learning model that helps identify bipolar disorder at earlier stages.
Digital tracking of people with mental health conditions has the power to transform medical diagnostics and treatment, but its claims need careful scrutiny.
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
A scientist aims to lower the toll co-occurring disorders like heart disease or diabetes have on older people with schizophrenia and improve their functioning by getting them up and moving.