AIMC Topic: Binge-Eating Disorder

Clear Filters Showing 1 to 7 of 7 articles

Predicting responsiveness to a dialectical behaviour therapy skills training app for recurrent binge eating: A machine learning approach.

Behaviour research and therapy Apr 22, 2025
OBJECTIVE: Smartphone applications (apps) show promise as an effective and scalable intervention modality for disordered eating, yet responsiveness varies considerably. The ability to predict user responses to app-based interventions is currently lim...
Middle Aged Smartphone Adult Male Recurrence Binge-Eating Disorder Dialectical Behavior Therapy Mobile Applications Treatment Outcome Humans Female Young Adult Machine Learning
View on PubMed DOI

Determining the Importance of Lifestyle Risk Factors in Predicting Binge Eating Disorder After Bariatric Surgery Using Machine Learning Models and Lifestyle Scores.

Obesity surgery Mar 5, 2025
BACKGROUND: This study was conducted to assess the association between lifestyle risk factors (LRF) and odds of binge eating disorder (BED) 2 years post laparoscopic sleeve gastrectomy (LSG) using lifestyle score (LS) and machine learning (ML) models...
Humans Machine Learning Adult Male Middle Aged Female Risk Factors Binge-Eating Disorder Obesity, Morbid Exercise Life Style Bariatric Surgery
View on PubMed DOI

Leveraging OGTT derived metabolic features to detect Binge-eating disorder in individuals with high weight: a "seek out" machine learning approach.

Translational psychiatry Feb 18, 2025
Binge eating disorder (BED) carries a 6 times higher risk for obesity and accounts for roughly 30% of type 2 diabetes cases. Timely identification of early glycemic disturbances and comprehensive treatment can impact on the likelihood of associated m...
Binge-Eating Disorder Machine Learning Algorithms Male Middle Aged Glucose Tolerance Test Metabolic Diseases Obesity Female Adult Humans Machine Learning
View on PubMed DOI

Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve.

Computer methods and programs in biomedicine Oct 31, 2024
BACKGROUND AND OBJECTIVE: Binge eating disorder (BED) is the most frequent eating disorder, often confused with obesity, with which it shares several characteristics. Early identification could enable targeted therapeutic interventions. In this study...
Glycated Hemoglobin Models, Biological Binge-Eating Disorder Glucose Tolerance Test Humans Middle Aged Female Insulin Blood Glucose Machine Learning Adult Body Mass Index Male Algorithms
View on PubMed DOI

Detecting defense mechanisms from Adult Attachment Interview (AAI) transcripts using machine learning.

Psychotherapy research : journal of the Society for Psychotherapy Research Dec 16, 2022
OBJECTIVE: Defensive functioning (i.e., unconscious process used to manage real or perceived threats) may play a role in the development of various psychopathologies. It is typically assessed via observer rating measures, however, human coding of def...
Defense Mechanisms Adult Machine Learning Binge-Eating Disorder Female Humans
View on PubMed DOI

Interactions between different eating patterns on recurrent binge-eating behavior: A machine learning approach.

The International journal of eating disorders Jan 30, 2020
OBJECTIVE: Previous research has shown that certain eating patterns (rigid restraint, flexible restraint, intuitive eating) are differentially related to binge eating. However, despite the distinctiveness of these eating patterns, evidence suggests t...
Male Female Humans Binge-Eating Disorder Adult Machine Learning
View on PubMed DOI

Application of Machine Learning Techniques to the Prediction of Onset and Persistence of Binge Eating: A Prospective Study.

European eating disorders review : the journal of the Eating Disorders Association May 1, 2025
OBJECTIVE: Machine learning (ML) techniques have shown promise for enhancing prediction of clinical outcomes; however, its application to predicting binge eating has been scarcely explored. We applied ML techniques to predict binge eating onset (vs. ...
Humans Adult Male Female Machine Learning Binge-Eating Disorder Young Adult Prospective Studies Bulimia Adolescent
View on PubMed DOI
Popular Topics
Recent Journals