[HTML][HTML] Systematic review and meta-analysis on predictors of prognosis in patients with schizophrenia spectrum disorders: An overview of current evidence and a call …
V van Dee, HG Schnack, W Cahn - Schizophrenia Research, 2023 - Elsevier
Background Schizophrenia spectrum disorders (SSD) have heterogeneous outcomes. If we
could predict individual outcome and identify predictors of outcome, we could personalize …
could predict individual outcome and identify predictors of outcome, we could personalize …
Machine learning and non-affective psychosis: identification, differential diagnosis, and treatment
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 …
machine learning (ML) techniques in the field of non-affective psychosis, by summarizing the …
Adverse outcome analysis in people at clinical high risk for psychosis: results from a 2-year Italian follow-up study
L Pelizza, E Leuci, E Quattrone, S Azzali… - Social psychiatry and …, 2024 - Springer
Abstract Purpose Since January 2016, the Parma Department of Mental Health (in Italy)
developed a specialized care program for Early Intervention (EI) in individuals at Clinical …
developed a specialized care program for Early Intervention (EI) in individuals at Clinical …
[HTML][HTML] Prediction of clinical outcomes in psychotic disorders using artificial intelligence methods: A scoping review
Background: Psychotic disorders are major psychiatric disorders that can impact multiple
domains including physical, social, and psychological functioning within individuals with …
domains including physical, social, and psychological functioning within individuals with …
Patterns of antipsychotic prescription and accelerometer-based physical activity levels in people with schizophrenia spectrum disorders: a multicenter, prospective …
Antipsychotic polypharmacy (APP) in patients with schizophrenia spectrum disorders (SSDs)
is usually not recommended, though it is very common in clinical practice. Both APP and …
is usually not recommended, though it is very common in clinical practice. Both APP and …
[HTML][HTML] A naturalistic cohort study of first-episode schizophrenia spectrum disorder: A description of the early phase of illness in the PSYSCAN cohort
MIE Slot, HH van Hell, I Winter-van Rossum… - Schizophrenia …, 2024 - Elsevier
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 …
international multi-center cohort of people with a first-episode schizophrenia spectrum …
Investigation of social and cognitive predictors in non-transition ultra-high-risk'individuals for psychosis using spiking neural networks
Finding predictors of social and cognitive impairment in non-transition Ultra-High-Risk
individuals (UHR) is critical in prognosis and planning of potential personalised intervention …
individuals (UHR) is critical in prognosis and planning of potential personalised intervention …
[HTML][HTML] Biomarker discovery using machine learning in the psychosis spectrum
W Yassin, KM Loedige, CMJ Wannan… - Biomarkers in …, 2024 - Elsevier
The past decade witnessed substantial discoveries related to the psychosis spectrum. Many
of these discoveries resulted from pursuits of objective and quantifiable biomarkers in …
of these discoveries resulted from pursuits of objective and quantifiable biomarkers in …
Shaping tomorrow's support: baseline clinical characteristics predict later social functioning and quality of life in schizophrenia spectrum disorder
J Hao, N Tiles-Sar, TD Habtewold, EJ Liemburg… - Social Psychiatry and …, 2024 - Springer
Purpose We aimed to explore the multidimensional nature of social inclusion (mSI) among
patients diagnosed with schizophrenia spectrum disorder (SSD), and to identify the …
patients diagnosed with schizophrenia spectrum disorder (SSD), and to identify the …
Recent onset mental illness severity: pilot study on the role of cognition, sensory modulation, and daily life participation
L Lipskaya-Velikovsky, A Hershkovitz, M Bukai… - Frontiers in …, 2024 - frontiersin.org
Introduction Early detection of individuals at risk for onset of severe illness is crucial for
prevention and early intervention, aiming to mitigate the long-term impact on both the …
prevention and early intervention, aiming to mitigate the long-term impact on both the …