Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning

Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning

Abstract Clinical course after first episode psychosis (FEP) is heterogeneous. Subgrouping and predicting longitudinal symptom trajectories after FEP may help develop personalized treatment approaches. We utilized k-means clustering to identify clusters of 411 FEP patients based on longitudinal posi...

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Main Authors: Yanan Liu, Sara Jalali, Ridha Joober, Martin Lepage, Srividya Iyer, Jai Shah, David Benrimoh
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Mental Health Research
Online Access:https://doi.org/10.1038/s44184-025-00129-7
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https://doi.org/10.1038/s44184-025-00129-7

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