Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice

Prevention of Psychosis

(2020) Paolo Fusar-Poli et al.   JAMA Psychiatry

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

(2020) Tao Wang et al.   Jove-Journal of Visualized Experiments

Real-world implementation of precision psychiatry: Transdiagnostic risk calculator for the automatic detection of individuals at-risk of psychosis

(2020) Dominic Oliver et al.   SCHIZOPHRENIA RESEARCH

PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration

(2019) Karel G.M. Moons et al.   ANNALS OF INTERNAL MEDICINE

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

(2019) Robert F. Wolff et al.   ANNALS OF INTERNAL MEDICINE

Multimodel inference for biomarker development: an application to schizophrenia

(2019) Jason D. Cooper et al.   Translational Psychiatry

The use of component-wise gradient boosting to assess the possible role of cognitive measures as markers of vulnerability to pediatric bipolar disorder

(2019) Isabelle E. Bauer et al.   Cognitive Neuropsychiatry

Adding a neuroanatomical biomarker to an individualized risk calculator for psychosis: A proof-of-concept study

(2019) Yoonho Chung et al.   SCHIZOPHRENIA RESEARCH

Predicting one-year outcome in first episode psychosis using machine learning

(2019) Samuel P. Leighton et al.   PLoS One

Development and validation of a risk predictive model for student harmful drinking—A longitudinal data linkage study

(2019) Duc Anh Ngo et al.   DRUG AND ALCOHOL DEPENDENCE

Transdiagnostic psychiatry: a systematic review

(2019) Paolo Fusar‐Poli et al.   World Psychiatry

Transdiagnostic Individualized Clinically Based Risk Calculator for the Detection of Individuals at Risk and the Prediction of Psychosis: Model Refinement Including Nonlinear Effects of Age

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

Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis

(2019) Aaltsje Malda et al.   Frontiers in Psychiatry

Predicting medication-associated altered mental status in hospitalized patients: Development and validation of a risk model

(2019) Monica A Muñoz et al.   AMERICAN JOURNAL OF HEALTH-SYSTEM PHARMACY

Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study

(2019) Amin Zandvakili et al.   JOURNAL OF AFFECTIVE DISORDERS

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

(2019) Evangelia Christodoulou et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Clarity out of chaos: Use of theory in implementation research

(2019) Laura J. Damschroder   PSYCHIATRY RESEARCH

Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice

(2019) Stefania Tognin et al.   SCHIZOPHRENIA BULLETIN

TRANSD recommendations: improving transdiagnostic research in psychiatry

(2019) Paolo Fusar‐Poli   World Psychiatry

Prognostic models for outcome prediction in patients with chronic obstructive pulmonary disease: systematic review and critical appraisal

(2019) Vanesa Bellou et al.   BMJ-British Medical Journal

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

(2019) Paolo Fusar-Poli et al.   Translational Psychiatry

Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records

(2018) Gregory E. Simon et al.   AMERICAN JOURNAL OF PSYCHIATRY

Resting-State Connectivity Biomarkers of Cognitive Performance and Social Function in Individuals With Schizophrenia Spectrum Disorder and Healthy Control Subjects

(2018) Joseph D. Viviano et al.   BIOLOGICAL PSYCHIATRY

Development and external validation of a prediction rule for an unfavorable course of late-life depression: A multicenter cohort study

(2018) O.R. Maarsingh et al.   JOURNAL OF AFFECTIVE DISORDERS

Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning

(2018) Colin G. Walsh et al.   JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY

Refining Prediction in Treatment-Resistant Depression

(2018) Alexander Kautzky et al.   JOURNAL OF CLINICAL PSYCHIATRY

Development and validation of a clinical prediction tool to estimate the individual risk of depressive relapse or recurrence in individuals with recurrent depression

(2018) Nicola S. Klein et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Predicting posttraumatic stress disorder following a natural disaster

(2018) Anthony J. Rosellini et al.   JOURNAL OF PSYCHIATRIC RESEARCH

GWAS-based machine learning approach to predict duloxetine response in major depressive disorder

(2018) Malgorzata Maciukiewicz et al.   JOURNAL OF PSYCHIATRIC RESEARCH

A predictive model for conversion to psychosis in clinical high-risk patients

(2018) Adam J. Ciarleglio et al.   PSYCHOLOGICAL MEDICINE

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

Prediction of psychosis across protocols and risk cohorts using automated language analysis

(2018) Cheryl M. Corcoran et al.   World Psychiatry

Lack of evidence to favor specific preventive interventions in psychosis: a network meta-analysis

(2018) Cathy Davies et al.   World Psychiatry

Comparison of Early Intervention Services vs Treatment as Usual for Early-Phase Psychosis

(2018) Christoph U. Correll et al.   JAMA Psychiatry

Machine Learning: An Approach in Identifying Risk Factors for Coercion Compared to Binary Logistic Regression

(2018) Florian Hotzy et al.   Frontiers in Psychiatry

Is there a symptomatic distinction between the affective psychoses and schizophrenia? A machine learning approach

(2018) S. Jauhar et al.   SCHIZOPHRENIA RESEARCH

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

Clinical factors predicting treatment resistant depression: affirmative results from the European multicenter study

(2018) A. Kautzky et al.   ACTA PSYCHIATRICA SCANDINAVICA

Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation

(2018) Mohammad H. Afzali et al.   ADDICTION

Use of a Machine Learning Algorithm to Predict Individuals with Suicide Ideation in the General Population

(2018) Seunghyong Ryu et al.   Psychiatry Investigation

Prediction of remission in pharmacotherapy of untreated major depression: development and validation of multivariable prediction models

(2018) Toshi A. Furukawa et al.   PSYCHOLOGICAL MEDICINE

The Science of Prognosis in Psychiatry

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

Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach

(2018) Richard Dinga et al.   Translational Psychiatry

Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort

(2018) G. Fond et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Combining Multiple Resting-State fMRI Features during Classification: Optimized Frameworks and Their Application to Nicotine Addiction

(2017) Xiaoyu Ding et al.   Frontiers in Human Neuroscience

The struggle of translating science into action: Foundational concepts of implementation science

(2017) Frances Rapport et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

The perilous path from publication to practice

(2017) A M Chekroud et al.   MOLECULAR PSYCHIATRY

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

Predicting Response to Repetitive Transcranial Magnetic Stimulation in Patients With Schizophrenia Using Structural Magnetic Resonance Imaging: A Multisite Machine Learning Analysis

(2017) Nikolaos Koutsouleris et al.   SCHIZOPHRENIA BULLETIN

Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals

(2017) Martin Rozycki et al.   SCHIZOPHRENIA BULLETIN

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

(2017) Paolo Fusar-Poli   SCHIZOPHRENIA BULLETIN

Improved individualized prediction of schizophrenia in subjects at familial high risk, based on neuroanatomical data, schizotypal and neurocognitive features

(2017) Eleni Zarogianni et al.   SCHIZOPHRENIA RESEARCH

Predicting psychiatric readmission: sex-specific models to predict 30-day readmission following acute psychiatric hospitalization

(2017) Lucy Church Barker et al.   SOCIAL PSYCHIATRY AND PSYCHIATRIC EPIDEMIOLOGY

Improving outcomes of first-episode psychosis: an overview

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

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

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

Assessment of a Person-Level Risk Calculator to Predict New-Onset Bipolar Spectrum Disorder in Youth at Familial Risk

(2017) Danella M. Hafeman et al.   JAMA Psychiatry

Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD

(2017) I R Galatzer-Levy et al.   Translational Psychiatry

Crowdsourced validation of a machine-learning classification system for autism and ADHD

(2017) M Duda et al.   Translational Psychiatry

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

An Individualized Risk Calculator for Research in Prodromal Psychosis

(2016) Tyrone D. Cannon et al.   AMERICAN JOURNAL OF PSYCHIATRY

A Reporting Tool for Practice Guidelines in Health Care: The RIGHT Statement

(2016) Yaolong Chen et al.   ANNALS OF INTERNAL MEDICINE

External validation of the international risk prediction algorithm for major depressive episode in the US general population: the PredictD-US study

(2016) Yeshambel T. Nigatu et al.   BMC Psychiatry

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

Development and validation of a risk prediction algorithm for the recurrence of suicidal ideation among general population with low mood

(2016) Y. Liu et al.   JOURNAL OF AFFECTIVE DISORDERS

Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry

(2016) Konstantinos Ioannidis et al.   JOURNAL OF PSYCHIATRIC RESEARCH

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

(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

Use of machine learning for behavioral distinction of autism and ADHD

(2016) M Duda et al.   Translational Psychiatry

Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence

(2016) Woo-Young Ahn et al.   Frontiers in Psychiatry

Bridging a translational gap: using machine learning to improve the prediction of PTSD

(2015) Karen-Inge Karstoft et al.   BMC Psychiatry

DEVELOPMENT AND VALIDATION OF A RISK-PREDICTION ALGORITHM FOR THE RECURRENCE OF PANIC DISORDER

(2015) Yan Liu et al.   DEPRESSION AND ANXIETY

Obama's Precision Medicine Initiative

(2015) Sharon F. Terry   Genetic Testing and Molecular Biomarkers

A systematic review of the use of the Consolidated Framework for Implementation Research

(2015) M. Alexis Kirk et al.   Implementation Science

The utility of a classificatory decision tree approach to assist clinical differentiation of melancholic and non-melancholic depression

(2015) G. Parker et al.   JOURNAL OF AFFECTIVE DISORDERS

Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers

(2015) Karen-Inge Karstoft et al.   JOURNAL OF AFFECTIVE DISORDERS

Separating depressive comorbidity from panic disorder: A combined functional magnetic resonance imaging and machine learning approach

(2015) Ulrike Lueken et al.   JOURNAL OF AFFECTIVE DISORDERS

External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination

(2015) George C.M. Siontis et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Predictors of Abstinence From Heavy Drinking During Follow-Up in COMBINE

(2015) Ralitza Gueorguieva et al.   Journal of Studies on Alcohol and Drugs

Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

(2015) Turker Tekin Erguzel et al.   Psychiatry Investigation

Development and application of a diagnostic algorithm for posttraumatic stress disorder

(2015) Lisa M. James et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

Severity of thought disorder predicts psychosis in persons at clinical high-risk

(2015) Diana O. Perkins et al.   SCHIZOPHRENIA RESEARCH

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

Prediction of Autism by Translation and Immune/Inflammation Coexpressed Genes in Toddlers From Pediatric Community Practices

(2015) Tiziano Pramparo et al.   JAMA Psychiatry

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers

(2015) Ronald C. Kessler et al.   JAMA Psychiatry

Predictors of Abstinence from Heavy Drinking During Treatment in COMBINE and External Validation in PREDICT

(2014) Ralitza Gueorguieva et al.   ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

(2014) Truyen Tran et al.   BMC Psychiatry

Quantitative forecasting of PTSD from early trauma responses: A Machine Learning application

(2014) Isaac R. Galatzer-Levy et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Predictors of Admission in First-Episode Psychosis: Developing a Risk Adjustment Model for Service Comparisons

(2014) Donald Emile Addington et al.   PSYCHIATRIC SERVICES

Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist

(2014) Karel G. M. Moons et al.   PLOS MEDICINE

Brain Morphometric Biomarkers Distinguishing Unipolar and Bipolar Depression

(2014) Ronny Redlich et al.   JAMA Psychiatry

A Clinical Risk Stratification Tool for Predicting Treatment Resistance in Major Depressive Disorder

(2013) Roy H. Perlis   BIOLOGICAL PSYCHIATRY

DEVELOPMENT AND VALIDATION OF A PREDICTION ALGORITHM FOR USE BY HEALTH PROFESSIONALS IN PREDICTION OF RECURRENCE OF MAJOR DEPRESSION

(2013) Jian Li Wang et al.   DEPRESSION AND ANXIETY

The development of a population-based automated screening procedure for PTSD in acutely injured hospitalized trauma survivors

(2013) Joan Russo et al.   GENERAL HOSPITAL PSYCHIATRY

Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a population-based cohort of adults with schizophrenia in Ontario, Canada

(2012) Peter C. Austin et al.   PSYCHIATRY RESEARCH

Predicting the onset of major depression in primary care: international validation of a risk prediction algorithm from Spain

(2011) J. Á. Bellón et al.   PSYCHOLOGICAL MEDICINE

An international risk prediction algorithm for the onset of generalized anxiety and panic syndromes in general practice attendees: predictA

(2011) M. King et al.   PSYCHOLOGICAL MEDICINE

Early Recognition and Disease Prediction in the At-Risk Mental States for Psychosis Using Neurocognitive Pattern Classification

(2011) Nikolaos Koutsouleris et al.   SCHIZOPHRENIA BULLETIN

Disease Prediction in the At-Risk Mental State for Psychosis Using Neuroanatomical Biomarkers: Results From the FePsy Study

(2011) Nikolaos Koutsouleris et al.   SCHIZOPHRENIA BULLETIN

Use of Neuroanatomical Pattern Classification to Identify Subjects in At-Risk Mental States of Psychosis and Predict Disease Transition

(2009) Nikolaos Koutsouleris et al.   ARCHIVES OF GENERAL PSYCHIATRY

Development and Validation of an International Risk Prediction Algorithm for Episodes of Major Depression in General Practice Attendees

(2008) Michael King et al.   ARCHIVES OF GENERAL PSYCHIATRY