Phenomenological psychopathology meets machine learning: A multicentric retrospective study (Mu.St.A.R.D.) targeting the role of Aberrant Salience assessment in psychosis detection.
Journal:
Schizophrenia research
Published Date:
May 8, 2025
Abstract
BACKGROUND: The Aberrant Salience (AS) model conceptualizes psychosis onset as the altered attribution of salience to neutral stimuli. The Aberrant Salience Inventory (ASI), a psychometric tool, measures this phenomenon. This study utilized a multi-center, multi-country retrospective dataset to refine the ASI's screening capabilities using decision tree (DT) and multilayer perceptron (MLP) models. By integrating machine learning approaches with practical screening utility and phenomenological insights, this work advances understanding of psychosis development and its mechanisms.
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