Predicting psychosis and schizophrenia using language patterns, 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.

Om Podcasten

This is a podcast about deciphering human behavior and understanding why people do the things they do. I, Zach Elwood, talk with people from a wide range of fields about how they make sense of human behavior and psychology. I've talked to jury consultants, interrogation professionals, behavior researchers, sports analysts, professional poker players, to name a few. There are more than 135 episodes, many of them quite good (although some say I'm biased). To learn more, go to PeopleWhoReadPeople.com.