AIMC Topic: Feeding and Eating Disorders

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Artificial intelligence and eating disorders: a commentary.

Eating and weight disorders : EWD Aug 5, 2023
Humans Artificial Intelligence Feeding and Eating Disorders
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The oracle of Delphi 2.0: considering artificial intelligence as a challenging tool for the treatment of eating disorders.

Eating and weight disorders : EWD Jun 19, 2023
In this editorial, we discuss how the diffusion of Artificial Intelligence (AI)-based tools-such as the recently available conversational AIs-could impact and transform eating disorders (EDs) care. We try to envision the possible use of AI by individ...
Humans Artificial Intelligence Communication Psychotherapy Feeding and Eating Disorders
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An exploratory application of machine learning methods to optimize prediction of responsiveness to digital interventions for eating disorder symptoms.

The International journal of eating disorders May 12, 2022
OBJECTIVE: Digital interventions show promise to address eating disorder (ED) symptoms. However, response rates are variable, and the ability to predict responsiveness to digital interventions has been poor. We tested whether machine learning (ML) te...
Feeding and Eating Disorders Prognosis Anxiety Disorders Humans Machine Learning
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Machine learning to advance the prediction, prevention and treatment of eating disorders.

European eating disorders review : the journal of the Eating Disorders Association Jul 6, 2021
Machine learning approaches are just emerging in eating disorders research. Promising early results suggest that such approaches may be a particularly promising and fruitful future direction. However, there are several challenges related to the natur...
Machine Learning Forecasting Humans Feeding and Eating Disorders
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Prediction of eating disorder treatment response trajectories via machine learning does not improve performance versus a simpler regression approach.

The International journal of eating disorders Apr 2, 2021
OBJECTIVE: Patterns of response to eating disorder (ED) treatment are heterogeneous. Advance knowledge of a patient's expected course may inform precision medicine for ED treatment. This study explored the feasibility of applying machine learning to ...
Female Hospitalization Adult Humans Machine Learning Logistic Models Feeding and Eating Disorders Adolescent ROC Curve
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An artificial intelligence-derived tool proposal to ease disordered eating screening in people with obesity.

Eating and weight disorders : EWD Jan 2, 2021
PURPOSE: In people with obesity, food addiction (FA) tends to be associated with poorer outcomes. Its diagnosis can be challenging in primary care. Based on the SCOFF example, we aim to determine whether a quicker and simpler screening tool for FA in...
Surveys and Questionnaires Obesity Bayes Theorem Artificial Intelligence Cross-Sectional Studies Feeding and Eating Disorders Humans
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Exploring Abnormal Behavior Patterns of Online Users With Emotional Eating Behavior: Topic Modeling Study.

Journal of medical Internet research Mar 31, 2020
BACKGROUND: Emotional eating (EE) is one of the most significant symptoms of various eating disorders. It has been difficult to collect a large amount of behavioral data on EE; therefore, only partial studies of this symptom have been conducted. To p...
Male Social Media Feeding Behavior Feeding and Eating Disorders Humans Machine Learning Female
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Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach.

Journal of affective disorders Nov 6, 2018
BACKGROUND: Bipolar disorder (BD) is a severe psychiatric disorder characterized by periodic episodes of manic and depressive symptomatology. Predominant polarity (PP) appears to be an important specifier of BD. The present study employed machine lea...
Hallucinations Delusions Female Hospitalization Adult Substance-Related Disorders Humans Cross-Sectional Studies Area Under Curve Alcoholism Machine Learning Cohort Studies Tobacco Use Disorder Male Middle Aged Demography Algorithms ROC Curve Bipolar Disorder Feeding and Eating Disorders Age Factors
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Using person-specific neural networks to characterize heterogeneity in eating disorders: Illustrative links between emotional eating and ovarian hormones.

The International journal of eating disorders Aug 21, 2018
OBJECTIVE: Emotional eating has been linked to ovarian hormone functioning, but no studies to-date have considered the role of brain function. This knowledge gap may stem from methodological challenges: Data are heterogeneous, violating assumptions o...
Progesterone Magnetic Resonance Imaging Emotions Surveys and Questionnaires Humans Estradiol Neural Networks, Computer Twins Saliva Models, Statistical Brain Feeding Behavior Brain Mapping Female Menstrual Cycle Feeding and Eating Disorders Eating Adult
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Critical gaps in the medical knowledge base of eating disorders.

Eating and weight disorders : EWD Apr 21, 2018
Eating disorders are unique in that they inherently have much medical comorbidity both as a part of restricting-type eating disorders and those characterized by purging behaviors. Over the last three decades, remarkable progress has been made in the ...
Knowledge Bases Humans Evidence-Based Medicine Feeding and Eating Disorders Research
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