AIMC Topic: Anorexia Nervosa

Clear Filters Showing 1 to 7 of 7 articles

Validation of anorexia nervosa and Bulimia nervosa diagnosis coding in Danish hospitals assisted by a natural language processing model.

Journal of psychiatric research Sep 14, 2024
INTRODUCTION: The Danish Health Care Registers rely on the International Statistical Classification of Diseases and Related Health Problems (ICD)-classification and stand as a widely utilized resource for health epidemiological research. Eating disor...
Humans Electronic Health Records Female Registries International Classification of Diseases Clinical Coding Anorexia Nervosa Bulimia Nervosa Adolescent Denmark Natural Language Processing Young Adult Adult Male
View on PubMed DOI

Weight gained during treatment predicts 6-month body mass index in a large sample of patients with anorexia nervosa using ensemble machine learning.

The International journal of eating disorders Apr 12, 2024
OBJECTIVE: This study used machine learning methods to analyze data on treatment outcomes from individuals with anorexia nervosa admitted to a specialized eating disorders treatment program.
Male Adolescent Treatment Outcome Female Young Adult Adult Anorexia Nervosa Body Mass Index Follow-Up Studies Weight Gain Humans Machine Learning
View on PubMed DOI

Liver Damage Is Related to the Degree of Being Underweight in Anorexia Nervosa and Improves Rapidly with Weight Gain.

Nutrients Jun 8, 2022
Background: The present study investigates the relationship between hypertransaminasemia and malnutrition on the basis of a very large number of patients. We assume that the level of transaminases not only reflects the extent of underlying liver cell...
Transaminases Anorexia Nervosa Adolescent Young Adult Humans Child Liver Body Mass Index Female Adult Weight Gain Aged Middle Aged Thinness
View on PubMed DOI

Machine learning derived risk prediction of anorexia nervosa.

BMC medical genomics Jan 20, 2016
BACKGROUND: Anorexia nervosa (AN) is a complex psychiatric disease with a moderate to strong genetic contribution. In addition to conventional genome wide association (GWA) studies, researchers have been using machine learning methods in conjunction ...
Logistic Models Databases, Genetic Sample Size Anorexia Nervosa Adult Adolescent Genetic Predisposition to Disease Female Reproducibility of Results Risk Factors Humans Machine Learning
View on PubMed DOI

Functional connectivity correlates of response inhibition impairment in anorexia nervosa.

Psychiatry research. Neuroimaging Dec 2, 2015
Anorexia nervosa (AN) is a disorder characterized by high levels of cognitive control and behavioral perseveration. The present study aims at exploring inhibitory control abilities and their functional connectivity correlates in patients with AN. Inh...
Neural Networks, Computer Phenotype Polymorphism, Genetic Brain Anorexia Nervosa Female Humans Attention Catechol O-Methyltransferase Executive Function Adult Psychomotor Performance Case-Control Studies Serotonin Plasma Membrane Transport Proteins Middle Aged Rest Body Mass Index Magnetic Resonance Imaging
View on PubMed DOI

Identifying neuroanatomical signatures of anorexia nervosa: a multivariate machine learning approach.

Psychological medicine May 20, 2015
BACKGROUND: There are currently no neuroanatomical biomarkers of anorexia nervosa (AN) available to make clinical inferences at an individual subject level. We present results of a multivariate machine learning (ML) approach utilizing structural neur...
Diagnostic and Statistical Manual of Mental Disorders Anorexia Nervosa Machine Learning Magnetic Resonance Imaging Algorithms Probability Brain Neuroimaging Sensitivity and Specificity Female Humans Adolescent Case-Control Studies Young Adult Image Processing, Computer-Assisted Adult
View on PubMed DOI

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.

Journal of affective disorders Jun 15, 2025
BACKGROUND: Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable markers. This study used machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder...
Adult Male Depressive Disorder, Major Machine Learning Female Young Adult Alcoholism Feeding and Eating Disorders Anorexia Nervosa Humans Bulimia Nervosa Case-Control Studies Adolescent Longitudinal Studies
View on PubMed DOI
Popular Topics
Recent Journals