Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk

Unmet needs in patients with brief psychotic disorders: Too ill for clinical high risk services and not ill enough for first episode services

(2019) Amedeo Minichino et al.   EUROPEAN PSYCHIATRY

Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol

(2019) Paolo Fusar-Poli et al.   Frontiers in Psychiatry

Long term outcomes of acute and transient psychotic disorders: The missed opportunity of preventive interventions

(2018) Grazia Rutigliano et al.   EUROPEAN PSYCHIATRY

Can We Reduce the Duration of Untreated Psychosis? A Systematic Review and Meta-Analysis of Controlled Interventional Studies

(2018) Dominic Oliver et al.   SCHIZOPHRENIA BULLETIN

Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk and the Prediction of Psychosis: Second Replication in an Independent National Health Service Trust

(2018) Paolo Fusar-Poli et al.   SCHIZOPHRENIA BULLETIN

Standard errors and confidence intervals for variable importance in random forest regression, classification, and survival

(2018) Hemant Ishwaran et al.   STATISTICS IN MEDICINE

What causes psychosis? An umbrella review of risk and protective factors

(2018) Joaquim Radua et al.   World Psychiatry

Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression

(2018) Nikolaos Koutsouleris et al.   JAMA Psychiatry

The Science of Prognosis in Psychiatry

(2018) Paolo Fusar-Poli et al.   JAMA Psychiatry

Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence

(2018) Sandra Vieira et al.   SCHIZOPHRENIA BULLETIN

Inference in the age of big data: Future perspectives on neuroscience

(2017) Danilo Bzdok et al.   NEUROIMAGE

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis

(2017) Raymond Salvador et al.   PLoS One

Computational neuroscience approach to biomarkers and treatments for mental disorders

(2017) Noriaki Yahata et al.   PSYCHIATRY AND CLINICAL NEUROSCIENCES

Prediction of transition to psychosis in patients with a clinical high risk for psychosis: a systematic review of methodology and reporting

(2017) E. Studerus et al.   PSYCHOLOGICAL MEDICINE

Computational Psychiatry and the Challenge of Schizophrenia

(2017) John H. Krystal et al.   SCHIZOPHRENIA BULLETIN

The Clinical High-Risk State for Psychosis (CHR-P), Version II

(2017) Paolo Fusar-Poli   SCHIZOPHRENIA BULLETIN

Diagnostic and Prognostic Significance of Brief Limited Intermittent Psychotic Symptoms (BLIPS) in Individuals at Ultra High Risk

(2017) Paolo Fusar-Poli et al.   SCHIZOPHRENIA BULLETIN

Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis

(2017) Andrea Mechelli et al.   SCHIZOPHRENIA RESEARCH

Etiology in psychiatry: embracing the reality of poly-gene-environmental causation of mental illness

(2017) Rudolf Uher et al.   World Psychiatry

Why ultra high risk criteria for psychosis prediction do not work well outside clinical samples and what to do about it

(2017) Paolo Fusar-Poli   World Psychiatry

Improving outcomes of first-episode psychosis: an overview

(2017) Paolo Fusar-Poli et al.   World Psychiatry

Extending the Benefits of Indicated Prevention to Improve Outcomes of First-Episode Psychosis

(2017) Paolo Fusar-Poli   JAMA Psychiatry

Development and Validation of a Clinically Based Risk Calculator for the Transdiagnostic Prediction of Psychosis

(2017) Paolo Fusar-Poli et al.   JAMA Psychiatry

Why transition risk to psychosis is not declining at the OASIS ultra high risk service: The hidden role of stable pretest risk enrichment

(2017) P. Fusar-Poli et al.   SCHIZOPHRENIA RESEARCH

Forty years of structural imaging in psychosis: promises and truth

(2016) P. Fusar-Poli et al.   ACTA PSYCHIATRICA SCANDINAVICA

Personalized Prediction of Psychosis: External Validation of the NAPLS-2 Psychosis Risk Calculator With the EDIPPP Project

(2016) Ricardo E. Carrión et al.   AMERICAN JOURNAL OF PSYCHIATRY

Integration of multi-omics data for prediction of phenotypic traits using random forest

(2016) Animesh Acharjee et al.   BMC BIOINFORMATICS

Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data

(2016) Sanne de Wit et al.   HUMAN BRAIN MAPPING

Adequate sample size for developing prediction models is not simply related to events per variable

(2016) Emmanuel O. Ogundimu et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Machine learning for large-scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures

(2016) Ken J. Kubota et al.   MOVEMENT DISORDERS

Computational psychiatry as a bridge from neuroscience to clinical applications

(2016) Quentin J M Huys et al.   NATURE NEUROSCIENCE

Diagnostic Stability of ICD/DSM First Episode Psychosis Diagnoses: Meta-analysis

(2016) Paolo Fusar-Poli et al.   SCHIZOPHRENIA BULLETIN

Deconstructing Pretest Risk Enrichment to Optimize Prediction of Psychosis in Individuals at Clinical High Risk

(2016) Paolo Fusar-Poli et al.   JAMA Psychiatry

Prognosis of Brief Psychotic Episodes

(2016) Paolo Fusar-Poli et al.   JAMA Psychiatry

Heterogeneity of Psychosis Risk Within Individuals at Clinical High Risk

(2016) Paolo Fusar-Poli et al.   JAMA Psychiatry

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement

(2015) Gary S. Collins et al.   ANNALS OF INTERNAL MEDICINE

Disorder, not just state of risk: Meta-analysis of functioning and quality of life in people at high risk of psychosis

(2015) Paolo Fusar-Poli et al.   BRITISH JOURNAL OF PSYCHIATRY

Machine Learning in Medicine

(2015) R. C. Deo   CIRCULATION

Machine learning applications in genetics and genomics

(2015) Maxwell W. Libbrecht et al.   NATURE REVIEWS GENETICS

Why are help-seeking subjects at ultra-high risk for psychosis help-seeking?

(2015) Irina Falkenberg et al.   PSYCHIATRY RESEARCH

The Dark Side of the Moon: Meta-analytical Impact of Recruitment Strategies on Risk Enrichment in the Clinical High Risk State for Psychosis

(2015) Paolo Fusar-Poli et al.   SCHIZOPHRENIA BULLETIN

Sample size considerations for the external validation of a multivariable prognostic model: a resampling study

(2015) Gary S. Collins et al.   STATISTICS IN MEDICINE

Prediction of psychosis using neural oscillations and machine learning in neuroleptic-naïve at-risk patients

(2015) Avinash Ramyead et al.   WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY

The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement

(2015) Eric I. Benchimol et al.   PLOS MEDICINE

Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints

(2015) Tjeerd van der Ploeg et al.   BMC Medical Research Methodology

Biological insights from 108 schizophrenia-associated genetic loci

(2014)   NATURE

Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models

(2014) Peter C Austin et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

External validation of a Cox prognostic model: principles and methods

(2013) Patrick Royston et al.   BMC Medical Research Methodology

Machine Learning Approaches: From Theory to Application in Schizophrenia

(2013) Elisa Veronese et al.   Computational and Mathematical Methods in Medicine

Dissecting psychiatric spectrum disorders by generative embedding

(2013) Kay H. Brodersen et al.   NeuroImage-Clinical

Outreach and support in South London (OASIS), 2001–2011: Ten years of early diagnosis and treatment for young individuals at high clinical risk for psychosis

(2012) P. Fusar-Poli et al.   EUROPEAN PSYCHIATRY

Risk prediction models: II. External validation, model updating, and impact assessment

(2012) Karel G M Moons et al.   HEART

Incidence of Schizophrenia and Other Psychoses in England, 1950–2009: A Systematic Review and Meta-Analyses

(2012) James B. Kirkbride et al.   PLoS One

A Systematic Review and Meta-Analysis of Recovery in Schizophrenia

(2012) E. Jaaskelainen et al.   SCHIZOPHRENIA BULLETIN

A comparison of estimators to evaluate the discriminatory power of time-to-event models

(2012) Matthias Schmid et al.   STATISTICS IN MEDICINE

The Psychosis High-Risk State

(2012) Paolo Fusar-Poli et al.   JAMA Psychiatry

Support vector methods for survival analysis: a comparison between ranking and regression approaches

(2011) Vanya Van Belle et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register: development and descriptive data

(2009) Robert Stewart et al.   BMC Psychiatry

Assessing the Performance of Prediction Models

(2009) Ewout W. Steyerberg et al.   EPIDEMIOLOGY

Why Is Psychiatric Imaging Clinically Unreliable? Epistemological Perspectives in Clinical Neuroscience

(2009) P. Fusar-Poli et al.   PSYCHOTHERAPY AND PSYCHOSOMATICS