The promise of machine learning in predicting treatment outcomes in psychiatry

How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selection

(2021) Maia Jacobs et al.   Translational Psychiatry

Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches

(2020) Eugene Lin et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

The Leeds Risk Index: Field-Test of a Stratified Psychological Treatment Selection Algorithm

(2020) Jaime Delgadillo et al.   PSYCHOTHERAPY AND PSYCHOSOMATICS

Predicting treatment dropout after antidepressant initiation

(2020) Melanie F. Pradier et al.   Translational Psychiatry

Predictors of remission from body dysmorphic disorder after internet-delivered cognitive behavior therapy: a machine learning approach

(2020) Oskar Flygare et al.   BMC Psychiatry

Integrating genomic features for non-invasive early lung cancer detection

(2020) Jacob J. Chabon et al.   NATURE

A Development Pathway Towards Precision Mental Health Care

(2020) Jaime Delgadillo et al.   JAMA Psychiatry

A topological data analysis based classification method for multiple measurements

(2020) Henri Riihimäki et al.   BMC BIOINFORMATICS

Logistic regression was as good as machine learning for predicting major chronic diseases

(2020) Simon Nusinovici et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

(2020) Benjamin Y. Gravesteijn et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Toward dynamic phenotypes and the scalable measurement of human behavior

(2020) Laura Germine et al.   NEUROPSYCHOPHARMACOLOGY

Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiation

(2020) Melanie F. Pradier et al.   NEUROPSYCHOPHARMACOLOGY

The clinical characterization of the adult patient with depression aimed at personalization of management

(2020) Mario Maj et al.   World Psychiatry

Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression

(2020) Nikolaos Koutsouleris et al.   JAMA Psychiatry

Digital neuropsychology: challenges and opportunities at the intersection of science and software

(2019) Laura Germine et al.   CLINICAL NEUROPSYCHOLOGIST

Internet-delivered psychological treatments: from innovation to implementation

(2019) Gerhard Andersson et al.   World Psychiatry

Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data

(2019) Natalia Jaworska et al.   Frontiers in Psychiatry

Predictors of Response to Repetitive Transcranial Magnetic Stimulation in Depression: A Review of Recent Updates

(2019) Sujita Kumar Kar   Clinical Psychopharmacology and Neuroscience

Evaluating the evidence for biotypes of depression: Methodological replication and extension of

(2019) Richard Dinga et al.   NeuroImage-Clinical

Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP

(2019) Eleanor M. Wigmore et al.   PHARMACOGENOMICS JOURNAL

Predictive modeling for response to lithium and quetiapine in bipolar disorder

(2019) Thomas T Kim et al.   BIPOLAR DISORDERS

Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine Learning Approach with Multi‐Trial Replication

(2019) Arjun P. Athreya et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal

(2019) Fatemeh Hasanzadeh et al.   JOURNAL OF AFFECTIVE DISORDERS

Treatment-Resistant Schizophrenia: Insights From Genetic Studies and Machine Learning Approaches

(2019) Claudia Pisanu et al.   Frontiers in Pharmacology

The relationship between individual alpha peak frequency and clinical outcome with repetitive Transcranial Magnetic Stimulation (rTMS) treatment of Major Depressive Disorder (MDD)

(2019) Juliana Corlier et al.   Brain Stimulation

Gene Variants at Loci Related to Blood Pressure Account for Variation in Response to Antihypertensive Drugs Between Black and White Individuals

(2019) Raquel Iniesta et al.   HYPERTENSION

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

Potential predictors of depressive relapse following repetitive Transcranial Magnetic Stimulation: A systematic review

(2019) Aleksandra Miljevic et al.   JOURNAL OF AFFECTIVE DISORDERS

Functional neuroimaging in treatment resistant schizophrenia: A systematic review

(2019) Cinzia Molent et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Quantifying the Association Between Psychotherapy Content and Clinical Outcomes Using Deep Learning

(2019) Michael P. Ewbank et al.   JAMA Psychiatry

Treatment response classes in major depressive disorder identified by model-based clustering and validated by clinical prediction models

(2019) Riya Paul et al.   Translational Psychiatry

Prediction of lithium response using clinical data

(2019) A. Nunes et al.   ACTA PSYCHIATRICA SCANDINAVICA

Dissecting racial bias in an algorithm used to manage the health of populations

(2019) Ziad Obermeyer et al.   SCIENCE

Brain structural effects of treatments for depression and biomarkers of response: a systematic review of neuroimaging studies

(2019) Verena Enneking et al.   PSYCHOLOGICAL MEDICINE

Predicting response to electroconvulsive therapy combined with antipsychotics in schizophrenia using multi-parametric magnetic resonance imaging

(2019) Jie Gong et al.   SCHIZOPHRENIA RESEARCH

Individual prediction of psychotherapy outcome in posttraumatic stress disorder using neuroimaging data

(2019) Paul Zhutovsky et al.   Translational Psychiatry

Clinical Implementation of Pharmacogenetic Decision Support Tools for Antidepressant Drug Prescribing

(2018) Zane Zeier et al.   AMERICAN JOURNAL OF PSYCHIATRY

Treatment Selection in Depression

(2018) Zachary D. Cohen et al.   Annual Review of Clinical Psychology

Polygenic Risk Scores: What Are They Good For?

(2018) Amanda B. Zheutlin et al.   BIOLOGICAL PSYCHIATRY

In rape trauma PTSD, patient characteristics indicate which trauma-focused treatment they are most likely to complete

(2018) John R. Keefe et al.   DEPRESSION AND ANXIETY

Individual treatment selection for patients with posttraumatic stress disorder

(2018) Anne-Katharina Deisenhofer et al.   DEPRESSION AND ANXIETY

Neuroimaging biomarkers as predictors of treatment outcome in Major Depressive Disorder

(2018) Trehani M. Fonseka et al.   JOURNAL OF AFFECTIVE DISORDERS

Machine Learning for Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety after Myocardial Infarction: Insights from the U-CARE Heart Trial (Preprint)

(2018) John Wallert et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

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

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

Treatment response prediction and individualized identification of first-episode drug-naïve schizophrenia using brain functional connectivity

(2018) Bo Cao et al.   MOLECULAR PSYCHIATRY

Neuroimaging markers of antipsychotic treatment response in schizophrenia: An overview of magnetic resonance imaging studies

(2018) Goda Tarcijonas et al.   NEUROBIOLOGY OF DISEASE

Clinical and biological predictors of response to electroconvulsive therapy (ECT): a review

(2018) Martina Pinna et al.   NEUROSCIENCE LETTERS

Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study

(2018) Zhi Nie et al.   PLoS One

Personalized prediction of antidepressant v. placebo response: evidence from the EMBARC study

(2018) Christian A. Webb et al.   PSYCHOLOGICAL MEDICINE

Translating Person-Specific Network Models into Personalized Treatments: Development and Demonstration of the Dynamic Assessment Treatment Algorithm for Individual Networks (DATA-IN)

(2018) Julian A. Rubel et al.   PSYCHOTHERAPY AND PSYCHOSOMATICS

Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables

(2018) Raquel Iniesta et al.   Scientific Reports

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

(2018) Matthew Willetts et al.   Scientific Reports

Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder

(2018) Bo Cao et al.   Scientific Reports

On the Marketing and Use of Pharmacogenetic Tests for Psychiatric Treatment

(2018) George S. Zubenko et al.   JAMA Psychiatry

Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder

(2018) Azmeraw T. Amare et al.   Frontiers in Psychiatry

Fronto-Temporal Connectivity Predicts ECT Outcome in Major Depression

(2018) Amber M. Leaver et al.   Frontiers in Psychiatry

A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers

(2018) Eugene Lin et al.   Frontiers in Psychiatry

Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review

(2018) Yena Lee et al.   JOURNAL OF AFFECTIVE DISORDERS

Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach

(2018) Timothy Vivian-Griffiths et al.   AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS

Differentiating responders and non-responders to rTMS treatment for depression after one week using resting EEG connectivity measures

(2018) NW Bailey et al.   JOURNAL OF AFFECTIVE DISORDERS

Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report

(2018) Evelyn Andersson et al.   MOLECULAR PSYCHIATRY

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression

(2018) Rahel Pearson et al.   PSYCHOLOGICAL MEDICINE

Pre-treatment Resting-State Functional MR Imaging Predicts the Long-Term Clinical Outcome After Short-Term Paroxtine Treatment in Post-traumatic Stress Disorder

(2018) Minlan Yuan et al.   Frontiers in Psychiatry

An up-to-date comparison of state-of-the-art classification algorithms

(2017) Chongsheng Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of outcome in internet-delivered cognitive behaviour therapy for paediatric obsessive-compulsive disorder: A machine learning approach

(2017) Fabian Lenhard et al.   INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH

Predicting tDCS treatment outcomes of patients with major depressive disorder using automated EEG classification

(2017) Alaa M. Al-Kaysi et al.   JOURNAL OF AFFECTIVE DISORDERS

A prognostic index (PI) as a moderator of outcomes in the treatment of depression: A proof of concept combining multiple variables to inform risk-stratified stepped care models

(2017) Lorenzo Lorenzo-Luaces et al.   JOURNAL OF AFFECTIVE DISORDERS

The perilous path from publication to practice

(2017) A M Chekroud et al.   MOLECULAR PSYCHIATRY

Building better biomarkers: brain models in translational neuroimaging

(2017) Choong-Wan Woo et al.   NATURE NEUROSCIENCE

Pretreatment biomarkers predicting PTSD psychotherapy outcomes: A systematic review

(2017) Peter J. Colvonen et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Pharmacogenetics of antidepressant response: A polygenic approach

(2017) Judit García-González et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations

(2017) Mark Hoogendoorn et al.   IEEE Journal of Biomedical and Health Informatics

Reevaluating the Efficacy and Predictability of Antidepressant Treatments

(2017) Adam M. Chekroud et al.   JAMA Psychiatry

A wavelet-based technique to predict treatment outcome for Major Depressive Disorder

(2017) Wajid Mumtaz et al.   PLoS One

Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions

(2016) Lucy Yardley et al.   AMERICAN JOURNAL OF PREVENTIVE MEDICINE

Functional neuroimaging of psychotherapeutic processes in anxiety and depression

(2016) Ulrike Lueken et al.   CURRENT OPINION IN PSYCHIATRY

Combining clinical variables to optimize prediction of antidepressant treatment outcomes

(2016) Raquel Iniesta et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports

(2016) R C Kessler et al.   MOLECULAR PSYCHIATRY

Resting-state connectivity biomarkers define neurophysiological subtypes of depression

(2016) Andrew T Drysdale et al.   NATURE MEDICINE

Neurobiological markers predicting treatment response in anxiety disorders: A systematic review and implications for clinical application

(2016) Ulrike Lueken et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Human amygdala engagement moderated by early life stress exposure is a biobehavioral target for predicting recovery on antidepressants

(2016) Andrea N. Goldstein-Piekarski et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Machine learning, statistical learning and the future of biological research in psychiatry

(2016) R. Iniesta et al.   PSYCHOLOGICAL MEDICINE

Lithium vs. valproate vs. olanzapine vs. quetiapine as maintenance monotherapy for bipolar disorder: a population-based UK cohort study using electronic health records

(2016) Joseph F. Hayes et al.   World Psychiatry

Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder

(2016) R. C. Kessler et al.   Epidemiology and Psychiatric Sciences

Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data

(2016) Ronny Redlich et al.   JAMA Psychiatry

Analysis of 23andMe antidepressant efficacy survey data: implication of circadian rhythm and neuroplasticity in bupropion response

(2016) Q S Li et al.   Translational Psychiatry

The relationship between mobile phone location sensor data and depressive symptom severity

(2016) Sohrab Saeb et al.   PeerJ

Identifying Predictors, Moderators, and Mediators of Antidepressant Response in Major Depressive Disorder: Neuroimaging Approaches

(2015) Mary L. Phillips et al.   AMERICAN JOURNAL OF PSYCHIATRY

The combined effect of genetic polymorphisms and clinical parameters on treatment outcome in treatment-resistant depression

(2015) Alexander Kautzky et al.   EUROPEAN NEUROPSYCHOPHARMACOLOGY

Response of Depression to Electroconvulsive Therapy

(2015) Aazaz U. Haq et al.   JOURNAL OF CLINICAL PSYCHIATRY

Brain connectomics predict response to treatment in social anxiety disorder

(2015) S Whitfield-Gabrieli et al.   MOLECULAR PSYCHIATRY

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

(2015) Turker Tekin Erguzel et al.   Psychiatry Investigation

The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts

(2015) Brent Daniel Mittelstadt et al.   SCIENCE AND ENGINEERING ETHICS

A retrospective observational analysis to identify patient and treatment-related predictors of outcomes in a community mental health programme

(2015) S. A. Green et al.   BMJ Open

Predicting Treatment Response to Cognitive Behavioral Therapy in Panic Disorder With Agoraphobia by Integrating Local Neural Information

(2015) Tim Hahn et al.   JAMA Psychiatry

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

An Ethics Framework for a Learning Health Care System:A Departure from Traditional Research Ethics and Clinical Ethics

(2014) Ruth R. Faden et al.   HASTINGS CENTER REPORT

Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification

(2014) David C Atkins et al.   Implementation Science

Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data

(2014) Cecily Morrison et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Toward personalizing treatment for depression: predicting diagnosis and severity

(2014) Sandy H Huang et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression

(2014) J A van Waarde et al.   MOLECULAR PSYCHIATRY

A Cognitive–Emotional Biomarker for Predicting Remission with Antidepressant Medications: A Report from the iSPOT-D Trial

(2014) Amit Etkin et al.   NEUROPSYCHOPHARMACOLOGY

Mobile phones as medical devices in mental disorder treatment: an overview

(2014) Franz Gravenhorst et al.   Personal and Ubiquitous Computing

More female patients and fewer stimuli per session are associated with the short-term antidepressant properties of repetitive transcranial magnetic stimulation (rTMS): a meta-analysis of 54 sham-controlled studies published between 1997–2013

(2014) Kedzior et al.   Neuropsychiatric Disease and Treatment

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

(2013) Roy H. Perlis   BIOLOGICAL PSYCHIATRY

Single-Subject Anxiety Treatment Outcome Prediction using Functional Neuroimaging

(2013) Tali M Ball et al.   NEUROPSYCHOPHARMACOLOGY

A Novel Approach for Developing and Interpreting Treatment Moderator Profiles in Randomized Clinical Trials

(2013) Meredith L. Wallace et al.   JAMA Psychiatry

Contribution of Common Genetic Variants to Antidepressant Response

(2012) Katherine E. Tansey et al.   BIOLOGICAL PSYCHIATRY

Predictive neural biomarkers of clinical response in depression: A meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies

(2012) Cynthia H.Y. Fu et al.   NEUROBIOLOGY OF DISEASE

A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy

(2010) Ahmad Khodayari-Rostamabad et al.   CLINICAL NEUROPHYSIOLOGY

A meta-analysis of computer-tailored interventions for health behavior change

(2010) Paul Krebs et al.   PREVENTIVE MEDICINE

Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression

(2009) Sergi G. Costafreda et al.   NEUROREPORT

Recent advances in shared decision making for mental health

(2008) Sapana R Patel et al.   CURRENT OPINION IN PSYCHIATRY