Predicting psychosis and schizophrenia by what words people use, with Neguine Rezaii
This is a reshare of a 2020 talk with psychology researcher Neguine Rezaii. She and her research team used machine learning to find language patterns used by teenagers who were at risk of schizophrenia that were correlated with later schizophrenia diagnosis. The two language patterns found in the subjects' speech were 1) a low semantic density (i.e., low degree of meaning), and 2) speech related to sound or voices. Support the showTo get ad-free episodes, and more, get a premium subscription. To learn more about the show, go to behavior-podcast.com. I'm on Twitter at @apokerplayer. See a summary of my work.
People Who Read People: A Behavior and Psychology Podcast
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Show Notes
This is a reshare of a 2020 talk with psychology researcher Neguine Rezaii. She and her research team used machine learning to find language patterns used by teenagers who were at risk of schizophrenia that were correlated with later schizophrenia diagnosis. The two language patterns found in the subjects' speech were 1) a low semantic density (i.e., low amount of meaning), and 2) words related to sound or voices.
Learn more about the show and get transcripts at behavior-podcast.com.
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