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Using machine learning of computerized vocal expression to measure blunted vocal affect and alogia

Psychology

Using machine learning of computerized vocal expression to measure blunted vocal affect and alogia

A. S. Cohen, C. R. Cox, et al.

This groundbreaking study by Alex S. Cohen and colleagues delves into machine learning's potential to model blunted vocal affect and alogia with impressive accuracy. The findings reveal correlations with cognitive performance and offer insights into digital phenotyping for serious mental illness, raising intriguing questions about the nature of vocal expression in schizophrenia.

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