Article

Machine Learning Prediction of Treatment Response to Internet-Delivered Cognitive Behavioural Therapy vs. Antidepressant Medication

2025-01-23

Abstract excerpt

<p>Objective. Many treatments exist for depression, yet none are universally effective. Multivariable predictive models may be used for personalised treatment selection. We developed a model of treatment response for patients receiving internet-delivered cognitive behavioural therapy (iCBT) and tested its treatment-specificity against antidepressant medication. Methods. The Precision in Psychiatry study gathered e...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c956b11b-3a76-599e-b538-f325e435a8c9
DOI: 10.31234/osf.io/4u638

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine Learning Prediction of Treatment Response to Internet-Delivered Cognitive Behavioural Therapy vs. Antidepressant MedicationDOI 10.31234/osf.io/4u638Read

Predictive Modelling of Depression Treatment Response using Individual Symptoms and Latent FactorsSemantic proximity Read

Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal dataSemantic proximity Read

Developing a multivariable prediction model to support personalized selection among five major empirically-supported treatments for adult depression. Study protocol of a systematic review and individual participant data network meta-analysis.Semantic proximity Read

Data-driven personalized medicine approaches to cognitive-behavioral therapy allocation in a large sample: A reanalysis of the ENRICHED studySemantic proximity Read

Building a prediction model for outcomes following treatment in UK NHS Talking Therapies services for depression and anxietySemantic proximity Read

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression – Medication Enhancement (AID-ME) StudySemantic proximity Read

Optimizing Treatment for Depression in Primary Care Using Psychotherapy Versus Antidepressant Medication in a Low-Resource Setting: Protocol for the OptimizeD Randomized Controlled TrialSemantic proximity Read

Clinical, genetic, and sociodemographic predictors of symptom severity after internet-delivered cognitive behavioural therapy for depression and anxietySemantic proximity Read

Phenotyping Antidepressant Treatment Response with Deep Learning in Electronic Health RecordsSemantic proximity Read

Predicting depression using electronic health records data: A systematic reviewSemantic proximity Read

Effects of an Artificial Intelligence Platform for Behavioral Interventions on Depression and Anxiety Symptoms: Randomized Clinical TrialSemantic proximity Read

Prediction of labor market marginalization in psychiatric patients following internet-delivered cognitive behavioral therapySemantic proximity Read