An exploratory application of machine learning methods to optimize prediction of responsiveness to digital interventions for eating disorder symptoms

The promise of machine learning in predicting treatment outcomes in psychiatry

(2021) Adam M. Chekroud et al.   World Psychiatry

Targeting dietary restraint to reduce binge eating: a randomised controlled trial of a blended internet- and smartphone app-based intervention

(2021) Jake Linardon et al.   PSYCHOLOGICAL MEDICINE

The Application of Machine Learning to Online Mindfulness Intervention Data: a Primer and Empirical Example in Compliance Assessment

(2021) Damien Lekkas et al.   Mindfulness

Does the Method of Content Delivery Matter? Randomized Controlled Comparison of an Internet-Based Intervention for Eating Disorder Symptoms With and Without Interactive Functionality

(2021) Jake Linardon et al.   BEHAVIOR THERAPY

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

(2020) Oskar Flygare et al.   BMC Psychiatry

Break Binge Eating: Reach, engagement, and user profile of an Internet‐based psychoeducational and self‐help platform for eating disorders

(2020) Jake Linardon et al.   INTERNATIONAL JOURNAL OF EATING DISORDERS

A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions

(2020) Isabel Chien et al.   JAMA Network Open

Efficacy of a transdiagnostic cognitive-behavioral intervention for eating disorder psychopathology delivered through a smartphone app: a randomized controlled trial

(2020) Jake Linardon et al.   PSYCHOLOGICAL MEDICINE

Effectiveness of a Digital Cognitive Behavior Therapy–Guided Self-Help Intervention for Eating Disorders in College Women

(2020) Ellen E. Fitzsimmons-Craft et al.   JAMA Network Open

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

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

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

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

(2018) Rahel Pearson et al.   PSYCHOLOGICAL MEDICINE

Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach

(2017) Nuwan C. Hettige et al.   GENERAL HOSPITAL PSYCHIATRY

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Regularization Paths for Generalized Linear Models via Coordinate Descent

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