Machine learning (ML) methodology used in the social and health sciences needs to fit the
intended research purposes of description, prediction, or causal inference. This paper …

Abstract Purpose of Review This review will cover the most relevant findings on the use of
machine learning (ML) techniques in the field of non-affective psychosis, by summarizing the …

The main objective of the present study was to investigate the association between several
epigenetic clocks, covering different aspects of aging, with schizophrenia relapse evaluated …

Background We examined the course of illness over a 12-month period in a large,
international multi-center cohort of people with a first-episode schizophrenia spectrum …

Cognitive reserve in mental disorders. - Abstract - Europe PMC Sign in | Create an account
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Objective This study was aimed at identifying differences in the prodromal symptoms and
their duration, risk factors and markers of vulnerability in patients presenting a first episode …

In the past decade, several groups reported incredible achievements using machine
learning. For instance, Google reported a neural network that taught itself how to identify …

Aim People at clinical high risk (CHR) for psychosis are a heterogeneous population in
regard to clinical presentation and outcome. It is unclear, however, if their baseline clinical …

School refusal (SR) is a form of school attendance problem (SAP) that requires specific
mental health care. Despite improvements in the definition of SAPs, the course of SR is not …

Abstract Machine learning classifications of first-episode psychosis (FEP) using
neuroimaging have predominantly analyzed brain volumes. Some studies examined cortical …