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N. Koutsouleris

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Open access Oct 2026

Predicting Depression Risk in Early Intervention in Psychosis Services: A Machine Learning Study Utilising Electronic Health Records and Natural Language Processing.

INTRODUCTION Depression is prevalent in early psychosis and associated with poorer functional outcomes and suicide risk. Early identification of depression risk is critical to inform targeted interventions. This study aimed to develop models to predict depression risk using electronic health records (EHRs) from patient...

Sergio Mena, Dominic Oliver, F. Coutts et al. · 0 citations
Review Jul 2026

The Coupled Stochastic Dynamical System: A Generative Model for Simulating and Forecasting Youth Mental Health Trajectories

The Coupled Stochastic Dynamical System is introduced, a forward generative model that jointly simulates digital engagement, weara-ble physiology, and psychiatric burden as a family of coupled stochastic processes and position generative behaviour-al models as falsifiable and interpretable frameworks for studying youth...

N. Koutsouleris, G. Turner, N. Penzel et al. · 0 citations

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