Yanli Zhang-James

Associate Professor

SUNY Upstate Medical University

United States

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About

Yanli Zhang-James is an Associate Professor at State University of New York Upstate Medical University. Her research focuses on mental health disorders, particularly Attention-Deficit/Hyperactivity Disorder, intermittent explosive disorder, and the impact of COVID-19 on youth mental health. She has contributed to the understanding of psychiatric comorbidities and the application of machine learning in predicting ADHD outcomes.

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2021

Collaborators (9)

Eileen Daly

Lecturer

King’s College London

UNITED KINGDOM

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Stephen V Faraone

Distinguished Professor

SUNY Upstate Medical University

UNITED STATES

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Lin Li

Karolinska Institutet

SWEDEN

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Jonathan Hess

SUNY Upstate Medical University

UNITED STATES

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Anne-Christin Hauschild

Assistant Professor

University Medical Center Göttingen

GERMANY

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Mara Cercignani

Cardiff University

UNITED KINGDOM

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Murray Cairns

Professor

AUSTRALIA

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Ping-I Lin

Conjoint Associate Professor

University of Western Sydney

AUSTRALIA

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Isabell Brikell

Aarhus University

DENMARK

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Yanli Zhang-James

Research Interests

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About

Articles (28)

Attention-Deficit/Hyperactivity Disorder Symptoms Are Common and Associated with Worse Glycemic Control in Adults with Type 1 Diabetes

A systematic review of the etiology and neurobiology of intermittent explosive disorder

Improving Machine Learning Prediction of ADHD Using Gene Set Polygenic Risk Scores and Risk Scores From Genetically Correlated Phenotypes

Psychiatric, Neurological, and Somatic Comorbidities in Intermittent Explosive Disorder

Psychiatric, Neurological, and Somatic Comorbidities in Intermittent Explosive Disorder

Time on task limits psychotherapy's role in reducing the societal burden of aggression

A primer on the use of machine learning to distil knowledge from data in biological psychiatry.

ADHD medication discontinuation and persistence across the lifespan: a retrospective observational study using population-based databases

Post–COVID-19 Mental Health Distress in 13 Million Youth: A Retrospective Cohort Study of Electronic Health Records

Effects of ADHD and ADHD treatment on glycemic management in type 1 diabetes: A systematic review and meta-analysis of observational studies

Reward Functioning in General and Specific Psychopathology in Children and Adults

Risk Factors for Suicidal Behavior in Youth and the Impact of SARS-CoV-2 Infection: A Retrospective Case-Control Study

A Systematic Review of the Etiology and Neurobiology of Intermittent Explosive Disorder

Using Genomic Context Informed Genotype Data and Within-model Ancestry Adjustment to Classify Type 2 Diabetes

Association of ADHD symptoms with type 2 diabetes and cardiovascular comorbidities in adults receiving outpatient diabetes care

Association Between ADHD and COVID-19 Infection and Clinical Outcomes: A Retrospective Cohort Study From Electronic Medical Records

ADHD AND CARDIOMETABOLIC DISEASE IN CHILDREN AND ADOLESCENTS

Association of ADHD symptoms with type 2 diabetes and cardiovascular comorbidities in adults receiving outpatient diabetes care

Daily cannabis use may cause cannabis-induced hyperalgesia

Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach

Structural brain morphometry as classifier and predictor of ADHD and reward-related comorbidities

Ensemble classification of autism spectrum disorder using structural magnetic resonance imaging features

Evidence for similar structural brain anomalies in youth and adult attention-deficit/hyperactivity disorder: a machine learning analysis

Alcohol use disorders and ADHD

Alcohol use disorders and ADHD (vol 128, pg 648, 2021)

Machine Learning Classifiers for ADHD and Comorbid Disorders

Collaborators (9)

Eileen Daly

Stephen V Faraone

Lin Li

Jonathan Hess

Anne-Christin Hauschild

Mara Cercignani

Murray Cairns

Ping-I Lin

Isabell Brikell

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