AI analyzes language to predict schizophrenia

A machine learning method found out a hidden clue in people’s language that can predict psychosis episodes

Trained clinicians had not noticed how individuals at risk for psychosis use more words associated with sound than the average population, though abnormal auditory perception is a pre-clinical symptom.

Machine learning can spot patterns in people’s use of language that even doctors who have undergone training to diagnose and treat those at risk of psychosis may not notice. “Trying to hear these subtleties in conversations with people is like trying to see microscopic germs with your eyes,” says first study author Neguine Rezaii, a fellow in the Department of Neurology at Harvard Medical School. That being said, it is possible to use machine learning to find subtle patterns hiding in people’s language. “It’s like a microscope for warning signs of psychosis,” she adds…

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