Research graph
References from EHR-based machine learning for psychiatric outcomes in youth and young adults: Challenges and opportunities. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Factors Associated With Self-reported Symptoms of Depression Among Adults With and Without a Previous COVID-19 Diagnosis
10.1001/jamanetworkopen.2021.16612 · 2021 · External reference
Gender-specificity of resilience in major depressive disorder
10.1002/da.23203 · 2021 · External reference
Association of Acute Symptoms of COVID-19 and Symptoms of Depression in Adults
10.1001/jamanetworkopen.2021.3223 · 2021 · External reference
Global Prevalence of Depressive and Anxiety Symptoms in Children and Adolescents During COVID-19: A Meta-analysis
10.1001/jamapediatrics.2021.2482 · 2021 · External reference
Mostly worse, occasionally better: impact of COVID-19 pandemic on the mental health of Canadian children and adolescents
10.1007/s00787-021-01744-3 · 2022 · External reference
Distinct patterns of emotional and behavioral change in child psychiatry outpatients during the COVID-19 pandemic
10.1186/s13034-022-00441-6 · 2022 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
10.1016/s0140-6736(24)00757-8
10.1016/s0140-6736(24)00757-8 · 2024 · External reference
ADHD in children and young people: prevalence, care pathways, and service provision
10.1016/s2215-0366(17)30167-0 · 2018 · External reference
Global prevalence of autism: A systematic review update
10.1002/aur.2696 · 2022 · External reference
The global epidemiology and health burden of the autism spectrum: findings from the Global Burden of Disease Study 2021
10.1016/s2215-0366(24)00363-8 · 2025 · External reference
Global, regional, and national trends in the burden of attention deficit hyperactivity disorder among children and adolescents (0-14 years): A 30-year analysis and future projections (1990-2036)
10.1016/j.psychres.2025.116746 · 2025 · External reference
Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020
10.15585/mmwr.ss7202a1 · 2023 · External reference
The Youth Mental Health Crisis in the United States: Epidemiology, Contributors, and Potential Solutions
10.1542/peds.2025-070849 · 2025 · External reference
Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research
10.1037/bul0000084 · 2017 · External reference
Associations between children’s diagnosed mental disorders and educational achievements in Sweden
10.1177/14034948221089056 · 2022 · External reference
Transitional aged youth: a new frontier in child and adolescent psychiatry
10.1016/j.jaac.2013.04.020 · 2013 · External reference
10.1001/jamanetworkopen.2024.1468
10.1001/jamanetworkopen.2024.1468 · External reference
10.1001/jamanetworkopen.2024.10104
10.1001/jamanetworkopen.2024.10104 · External reference
10.1001/archpsyc.62.6.593
10.1001/archpsyc.62.6.593 · External reference
Prior juvenile diagnoses in adults with mental disorder: developmental follow-back of a prospective-longitudinal cohort
10.1001/archpsyc.60.7.709 · 2003 · External reference
Worldwide Prevalence and Disability From Mental Disorders Across Childhood and Adolescence: Evidence From the Global Burden of Disease Study
10.1001/jamapsychiatry.2023.5051 · 2024 · External reference
Age of onset and cumulative risk of mental disorders: a cross-national analysis of population surveys from 29 countries
10.1016/s2215-0366(23)00193-1 · 2023 · External reference
Childhood-onset schizophrenia: premorbid and prodromal diagnostic and treatment histories
10.1097/00004583-200205000-00011 · 2002 · External reference
Preparing Future Pediatricians to Meet the Behavioral and Mental Health Needs of Children
10.1542/peds.2018-3796 · 2020 · External reference
Clinical staging of psychiatric disorders: a heuristic framework for choosing earlier, safer and more effective interventions
10.1080/j.1440-1614.2006.01860.x · 2006 · External reference
10.1017/cbo9780511735103.025
10.1017/cbo9780511735103.025 · External reference
Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model
10.1017/s0033291711000997 · 2012 · External reference
The International Society for Bipolar Disorders Task Force report on pediatric bipolar disorder: Knowledge to date and directions for future research
10.1111/bdi.12556 · 2017 · External reference
10.1056/nejmc1007166
10.1056/nejmc1007166 · External reference
Live fast, die young? A review on the developmental trajectories of ADHD across the lifespan
10.1016/j.euroneuro.2018.08.001 · 2018 · External reference
Prediction models for longitudinal trajectories of depression and anxiety: a systematic review
10.1016/j.jad.2026.121255 · 2026 · External reference
Latent trajectories in autistic individuals: A systematic review
10.1177/13623613251370818 · 2026 · External reference
The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging
2017 · External reference
Building the momentum and blueprint for reform in youth mental health
10.1016/s2215-0366(19)30050-1 · 2019 · External reference
High-performance medicine: the convergence of human and artificial intelligence
10.1038/s41591-018-0300-7 · 2019 · External reference
Automated machine learning for classification and regression: A tutorial for psychologists
10.3758/s13428-025-02684-5 · 2025 · External reference
A clinical risk stratification tool for predicting treatment resistance in major depressive disorder
10.1016/j.biopsych.2012.12.007 · 2013 · External reference
Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiation
10.1038/s41386-020-00838-x · 2021 · External reference
Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models
10.1001/jamanetworkopen.2020.5308 · 2020 · External reference
10.1038/npp.2015.254
10.1038/npp.2015.254 · External reference
An electronic health records study of long-term weight gain following antidepressant use
10.1001/jamapsychiatry.2014.414 · 2014 · External reference
Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review
10.1186/s12911-023-02341-x · 2023 · External reference
Artificial intelligence in mental health care: a scoping review of reviews
10.3389/fpsyt.2026.1688043 · 2026 · External reference
A Review of Machine Learning and Deep Learning Approaches on Mental Health Diagnosis
10.3390/healthcare11030285 · 2023 · External reference
Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records
10.1176/appi.ajp.2018.17101167 · 2018 · External reference
Prospective Validation of an Electronic Health Record–Based, Real-Time Suicide Risk Model
10.1001/jamanetworkopen.2021.1428 · 2021 · External reference
Machine learning model to predict mental health crises from electronic health records
10.1038/s41591-022-01811-5 · 2022 · External reference
Identifying data-driven subtypes of major depressive disorder with electronic health records
10.1016/j.jad.2024.03.162 · 2024 · External reference
Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review
10.1001/jama.2024.21700 · 2025 · External reference
Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses
10.3390/diagnostics15040434 · 2025 · External reference
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review
10.1016/j.jclinepi.2025.111675 · 2025 · External reference
AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential
2024 · External reference
Machine Learning in Healthcare
10.2174/1389202922666210705124359 · 2021 · External reference
Large Language Models Using Clinical Text in Pediatrics: A Scoping Review
10.1001/jamanetworkopen.2026.2443 · 2026 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Electronic Health Record Documentation of Psychiatric Assessments in Massachusetts Emergency Department and Outpatient Settings During the Coronavirus Disease 2019 (COVID-19) Pandemic
10.1001/jamanetworkopen.2020.11346 · 2020 · External reference
Associations Between Natural Language Processing-Enriched Social Determinants of Health and Suicide Death Among US Veterans
10.1001/jamanetworkopen.2023.3079 · 2023 · External reference
10.1016/j.biopsych.2024.10.006
10.1016/j.biopsych.2024.10.006 · External reference
Revisiting the seven pillars of RDoC
10.1186/s12916-022-02414-0 · 2022 · External reference
Progress in achieving quantitative classification of psychopathology
10.1002/wps.20566 · 2018 · External reference
Mapping the genetic landscape across 14 psychiatric disorders
10.1038/s41586-025-09820-3 · 2026 · External reference
Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders
10.1176/appi.ajp.2010.09091379 · 2010 · External reference
Research Domain Criteria: cognitive systems, neural circuits, and dimensions of behavior
10.31887/dcns.2012.14.1/smorris · 2012 · External reference
Neuropsychological functioning in relatives of girls with and without ADHD
10.1017/s0033291705004496 · 2005 · External reference
Neurocognitive impairment in unaffected siblings of youth with bipolar disorder
10.1017/s0033291708004832 · 2009 · External reference
Extending the “cross-disorder” relevance of executive functions to dimensional neuropsychiatric traits in youth
10.1111/jcpp.12463 · 2016 · External reference
Cross-Disorder Cognitive Impairments in Youth Referred for Neuropsychiatric Evaluation
10.1017/s1355617717000601 · 2018 · External reference
Cognitive deficits in unaffected first-degree relatives of schizophrenia patients: a meta-analytic review of putative endophenotypes
10.1093/schbul/sbi048 · 2006 · External reference
Evaluating cognitive function in unaffected relatives of individuals with bipolar disorders: A meta-analysis
10.1016/j.jpsychires.2022.06.003 · 2022 · External reference
Response Inhibition, Cognitive Flexibility and Working Memory in Obsessive-Compulsive Disorder, Generalized Anxiety Disorder and Social Anxiety Disorder
10.3390/ijerph18073642 · 2021 · External reference
Cross-diagnostic cognitive heterogeneity in body dysmorphic disorder and obsessive-compulsive disorder
10.1016/j.jbtep.2021.101674 · 2021 · External reference
Cognitive validation of cross-diagnostic cognitive subgroups on the schizophrenia-bipolar spectrum
10.1016/j.jad.2020.01.123 · 2020 · External reference
Impact of psychometrically defined deficits of executive functioning in adults with attention deficit hyperactivity disorder
10.1176/ajp.2006.163.10.1730 · 2006 · External reference
Executive function challenges persist into young adulthood and predict mental health outcomes in autism
10.1111/jcpp.70149 · 2026 · External reference
Cognitive impairment and functional outcome in schizophrenia and bipolar disorder
2006 · External reference
Memory and cognition in schizophrenia
10.1038/s41380-018-0231-1 · 2019 · External reference
The Hierarchical Taxonomy of Psychopathology (HiTOP) in psychiatric practice and research
10.1017/s0033291722001301 · 2022 · External reference
Assessment and treatment of attention deficit hyperactivity disorder in children with comorbid psychiatric illness
10.1097/00008480-200310000-00006 · 2003 · External reference
Cognitive and emotional profiles in children with ASD, ADHD, and comorbid presentations: evidence for a distinct clinical phenotype
10.3389/fpsyt.2026.1765698 · 2026 · External reference
Translating the Hierarchical Taxonomy of Psychopathology (HiTOP) from Potential to Practice: Ten Research Questions
10.1037/amp0001046 · 2023 · External reference
Impulsive Aggression as a Comorbidity of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents
10.1089/cap.2015.0126 · 2016 · External reference
Aggression in children with attention-deficit/hyperactivity disorder
10.1586/ern.10.146 · 2010 · External reference
Mortality in individuals with disruptive behavior disorders diagnosed by specialist services - A nationwide cohort study
10.1016/j.psychres.2017.02.029 · 2017 · External reference
Patterns of heterotypic continuity associated with the cross-sectional correlational structure of prevalent mental disorders in adults
10.1001/jamapsychiatry.2014.359 · 2014 · External reference
Examining heterotypic continuity of psychopathology: a prospective national study
10.1017/s003329171700054x · 2017 · External reference
New diagnosis in psychiatry: beyond heuristics
10.1017/s003329172400223x · 2025 · External reference
A Systematic Review of Topic Modeling Techniques for Electronic Health Records
10.3390/healthcare14020282 · 2026 · External reference
Large language models in health care: Development, applications, and challenges
10.1002/hcs2.61 · 2023 · External reference
Distribution of agitation and related symptoms among hospitalized patients using a scalable natural language processing method
10.1016/j.genhosppsych.2020.11.003 · 2021 · External reference
Characterizing DSM-5 and ICD-11 personality disorder features in psychiatric inpatients at scale using electronic health records
2019 · External reference
Association between DSM-5 and ICD-11 personality dimensional traits in a general medical cohort and readmission and mortality
10.1016/j.genhosppsych.2020.01.003 · 2020 · External reference
High Throughput Phenotyping for Dimensional Psychopathology in Electronic Health Records
10.1016/j.biopsych.2018.01.011 · 2018 · External reference
Genome-wide Association Study of Dimensional Psychopathology Using Electronic Health Records
10.1016/j.biopsych.2017.12.004 · 2018 · External reference
Estimating depression severity in narrative clinical notes using large language models
2024 · External reference
Improving Prediction of Suicide and Accidental Death After Discharge From General Hospitals With Natural Language Processing
10.1001/jamapsychiatry.2016.2172 · 2016 · External reference
Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts
10.1093/jamiaopen/ooab011 · 2021 · External reference
Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data
10.1017/s0033291724002642 · 2024 · External reference
Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study
10.1016/j.jalz.2019.09.084 · 2020 · External reference
QT interval and antidepressant use: a cross sectional study of electronic health records
2013 · External reference
A Systematic Evaluation of the QTc Interval and Antidepressants in Youth: An Electronic Health Record Study
10.1097/dbp.0000000000000188 · 2015 · External reference
Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning
10.1111/jcpp.12916 · 2018 · External reference
Predicting suicide attempts and suicide deaths among adolescents following outpatient visits
10.1016/j.jad.2021.06.057 · 2021 · External reference
10.1016/j.biopsych.2024.05.008
10.1016/j.biopsych.2024.05.008 · External reference
Association between child psychiatric emergency room outcomes and dimensions of psychopathology
10.1016/j.genhosppsych.2019.04.009 · 2019 · External reference
Age-stratified predictions of suicide attempts using machine learning in middle and late adolescence
10.1016/j.jad.2024.08.043 · 2024 · External reference
Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review
10.1016/j.compbiomed.2025.109859 · 2025 · External reference
Machine Learning Models for Predicting Mental Health Crises in Adolescents Using Electronic Health Records: A Systematic Review
2025 · External reference
Outcimes in machine learning models for child psychiatry: A systematic review of the literature
2025 · External reference
Annual Research Review: Translational machine learning for child and adolescent psychiatry
10.1111/jcpp.13545 · 2022 · External reference
Electronic Health Record Phenotyping of Pediatric Suicide-Related Emergency Department Visits
10.1001/jamanetworkopen.2024.42091 · 2024 · External reference
Machine learning for suicide risk prediction in children and adolescents with electronic health records
10.1038/s41398-020-01100-0 · 2020 · External reference
Using electronic health record data to predict future self-harm or suicidal ideation in young people treated by child and youth mental health services
10.1111/sltb.12988 · 2023 · External reference
Screening and Risk Algorithms for Detecting Pediatric Suicide Risk in the Emergency Department
10.1001/jamanetworkopen.2025.33505 · 2025 · External reference
Accuracy and transportability of machine learning models for adolescent suicide prediction with longitudinal clinical records
10.1038/s41398-024-03034-3 · 2024 · External reference
Predicting Adolescent Suicidal Behavior Following Inpatient Discharge Using Structured and Unstructured Data
10.1016/j.jad.2023.12.059 · 2024 · External reference
Detecting Pediatric Emergency Service Use for Suicide and Self-Harm: Multimodal Analysis of 3828 Encounters
10.2196/82371 · 2026 · External reference
Prediction of Adolescent Suicide Attempt by Integrating Clinical, Neurocognitive and Geocoded Neighborhood Environment Data
10.1093/schbul/sbaf064 · 2025 · External reference
Electronic health records identify timely trends in childhood mental health conditions
10.1186/s13034-023-00650-7 · 2023 · External reference
Post-COVID-19 Mental Health Distress in 13 Million Youth: A Retrospective Cohort Study of Electronic Health Records
10.1016/j.jaac.2024.03.023 · 2025 · External reference
A Prediction Model of Autism Spectrum Diagnosis from Well-Baby Electronic Data Using Machine Learning
2024 · External reference
Development and validation of a machine learning-based tool to predict autism among children
10.1002/aur.2912 · 2023 · External reference
Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year
10.1001/jamanetworkopen.2022.54303 · 2023 · External reference
Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data
2025 · External reference
Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach
10.1038/s41380-022-01918-8 · 2023 · External reference
Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation
2025 · External reference
Prediction of early-onset bipolar using electronic health records
10.1111/jcpp.14131 · 2025 · External reference
Machine-Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data
10.1111/jcpp.13226 · 2020 · External reference
Mood instability as a transdiagnostic predictor of cannabis use in attention-deficit/hyperactivity disorder and depression: A natural language processing analysis of electronic health records from 13,025 adolescents
10.1192/j.eurpsy.2025.10095 · 2025 · External reference
Mood instability is a common feature of mental health disorders and is associated with poor clinical outcomes
10.1136/bmjopen-2014-007504 · 2015 · External reference
Electronic Health Record-Integrated Legal Documentation to Measure Involuntary Mental Health Detention of Children
10.1016/j.jaacop.2024.09.001 · 2025 · External reference
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques
10.1186/s12911-024-02450-1 · 2024 · External reference
Predicting child and adolescent mental health emergency department revisits: a machine-learning approach compared to a clinician-derived baseline
10.1186/s12911-025-03269-0 · 2025 · External reference
Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges
10.1038/s41380-022-01528-4 · 2022 · External reference
Advancing Translational Research Using NIMH Research Domain Criteria and Computational Methods
10.1016/j.neuron.2019.02.024 · 2019 · External reference
